From 6bdda884096410b7e9c8c3715c0e802a3cc0f769 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Sat, 16 Dec 2017 23:33:21 +0530 Subject: [PATCH 001/105] add examples --- examples.md | 1839 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1839 insertions(+) create mode 100644 examples.md diff --git a/examples.md b/examples.md new file mode 100644 index 0000000..7d63ffe --- /dev/null +++ b/examples.md @@ -0,0 +1,1839 @@ +==================================== +Python programming language tutorial +==================================== + +:Version: 0.2 of 03.06.2010 + +.. contents:: +.. include:: + +Daniel Nouri +============ + +I am: + +- Python developer since 2001 +- Independent web developer +- http://danielnouri.org +- daniel.nouri@gmail.com + +Resources +========= + +This tutorial is mostly borrowing from: + +- Guido's Python tutorial: http://docs.python.org/tutorial + +Also useful: + +- Dive into Python book: http://www.diveintopython.net + +Interactive mode +================ + +- Type ``python`` at the command line. You should get:: + + Python 2.6 (#1, Feb 28 2007, 00:02:06) + Type "help", "copyright", "credits" or "license" for more information. + >>> + +Interactive mode (2) +==================== + +- Doesn't work? +- On Windows, try ``C:\python26\python.exe`` +- Or set the path: ``set path=%path%;C:\python26`` + +Interactive mode (3) +==================== + +- To get out, type ``Ctrl-Z`` or ``Ctrl-D``. + +Interactive mode (4) +==================== + +Our first program:: + + >>> world_is_flat = 1 + >>> if world_is_flat: + ... print "Don't fall off!" + ... + Don't fall off! + +Python as a calculator +====================== + +Use Python as a calculator:: + + >>> 2+2 + 4 + >>> 2+2 # a comment on the same line as code + 4 + +Python as a calc (2) +==================== + +The operators ``+``, ``-``, ``*``, ``/``, ``(`` and ``)`` work just +like in most other languages:: + + >>> 50-5*6 + 20 + >>> (50-5)*6 + 270 + +Python as a calc (3) +==================== + +Integer division returns the floor (before Python 3.x):: + + >>> 7/3 + 2 + >>> 7/-3 + -3 + +Python as a calc (4) +==================== + +The equal sign (``=``) is used to assign a value to a variable:: + + >>> width = 20 + >>> height = 5*9 + >>> width * height + 900 + +Python as a calc (5) +==================== + +Floating point operations:: + + >>> 3 * 3.75 / 1.5 + 7.5 + >>> 7.0 / 2 + 3.5 + +Python as a calc (6) +==================== + +The last printed expression is assigned to the variable ``_``:: + + >>> tax = 12.5 / 100 + >>> price = 100.50 + >>> price * tax + 12.5625 + +Python as a calc (7) +==================== + +:: + + >>> _ + 12.5625 + >>> price + _ + 113.0625 + >>> round(_, 2) + 113.06 + +Strings +======= + +:: + + >>> 'spam eggs' + 'spam eggs' + >>> 'doesn\'t' + "doesn't" + >>> '"Yes," he said.' + '"Yes," he said.' + +Strings (2) +=========== + +:: + + >>> print """ + ... Usage: thingy [OPTIONS] + ... -h Display this usage message + ... -H hostname Hostname to connect to + ... """ + Usage: thingy [OPTIONS] + -h Display this usage message + -H hostname Hostname to connect to + +Strings (3) +=========== + +``+`` and ``*`` operator:: + + >>> word = 'Help' + 'A' + >>> word + 'HelpA' + >>> '<' + word*5 + '>' + '' + +Strings (4) +=========== + +Indexing works like in C. There's no separate character type:: + + >>> word + 'HelpA' + >>> word[4] + 'A' + +Strings (5) +=========== + +Substrings using the *slice notation*:: + + >>> word[0:2] + 'He' + >>> word[2:4] + 'lp' + +Strings (6) +=========== + +Slice indexes have useful defaults:: + + >>> word[:2] # The first two characters + 'He' + >>> word[2:] # Everything except \ + ... # the first two characters + 'lpA' + +Strings (7) +=========== + +Python strings are *immutable*. Assigning to an indexed position +results in an error:: + + >>> word[0] = 'x' + Traceback (most recent call last): + File "", line 1, in ? + TypeError: 'str' object does not support item assignment + +Strings (8) +=========== + +However, creating a new string is easy and efficient:: + + >>> 'x' + word[1:] + 'xelpA' + >>> 'Splat' + word[4] + 'SplatA' + +Strings (9) +=========== + +Out-of-range slice indices are handled gracefully:: + + >>> word[1:100] + 'elpA' + >>> word[10:] + '' + >>> word[2:1] + '' + +Strings (10) +============ + +Indices may be negative numbers, to start counting from the right:: + + >>> word[-1] # The last character + 'A' + >>> word[-2] # The last-but-one character + 'p' + +Strings (11) +============ + +:: + + >>> word[-2:] # The last two characters + 'pA' + >>> word[:-2] # Everything except the last two characters + 'Hel' + >>> word[-100:] # Out-of-range index is truncated + 'HelpA' + +Strings (12) +============ + +The built-in function ``len`` returns the length of a string:: + + >>> s = 'supercalifragilisticexpialidocious' + >>> len(s) + 34 + +Lists +===== + +- one of Python's *compound data types* +- can be written as a list of comma-seprated values (items) between + square brackets +- items need not have the same type + +:: + + >>> a = ['spam', 'eggs', 100, 1234] + >>> a + ['spam', 'eggs', 100, 1234] + +Lists (2) +========= + +Like strings, lists support index operations:: + + >>> a[0] + 'spam' + >>> a[3] + 1234 + >>> a[-2] + 100 + +Lists (3) +========= + +Lists can be sliced and concatenated:: + + >>> a[1:-1] + ['eggs', 100] + >>> a[1:-1] + ['eggs', 100] + >>> a[:2] + ['bacon', 2*2] + ['spam', 'eggs', 'bacon', 4] + >>> 2*a[:2] + ['Boo!'] + ['spam', 'eggs', 'spam', 'eggs', 'Boo!'] + +Lists (4) +========= + +Unlike with strings, it's possible to change individual elements of a +list:: + + >>> a + ['spam', 'eggs', 100, 1234] + >>> a[2] = a[2] + 23 + >>> a + ['spam', 'eggs', 123, 1234] + +Lists (5) +========= + +Assignments to slices is also possible:: + + >>> # Replace some items: + ... a[0:2] = [1, 12] + >>> a + [1, 12, 123, 1234] + >>> # Remove some: + ... a[0:2] = [] + >>> a + [123, 1234] + +Lists (6) +========= + +:: + + >>> # Insert some: + ... a[1:1] = ['bletch', 'xyzzy'] + >>> a + [123, 'bletch', 'xyzzy', 1234] + >>> # Insert (a copy of) itself: + ... a[:0] = a + >>> a + [123, 'bletch', 'xyzzy', 1234, 123, 'bletch', 'xyzzy', 1234] + +Lists (7) +========= + +The built-in function ``len`` also works with lists:: + + >>> a = ['a', 'b', 'c', 'd'] + >>> len(a) + 4 + +Lists (8) +========= + +It's possible to nest lists:: + + >>> q = [2, 3] + >>> p = [1, q, 4] + >>> len(p) + 3 + >>> p[1] + [2, 3] + +Lists (9) +========= + +:: + + >>> p[1].append('xtra') + >>> p + [1, [2, 3, 'xtra'], 4] + >>> q + [2, 3, 'xtra'] + +Note that ``p[1]`` and ``q`` refer to the same object! + +First Steps Towards Programming +=============================== + +Fibonacci series; the sum of two elements defines the next:: + + >>> a, b = 0, 1 + >>> while b < 1000: + ... print b, + ... a, b = b, a+b + ... + 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 + +First Steps Towards Programming (2) +=================================== + +- *Multiple assignment*: the expressions on the right-hand are all + evaluated first before any assignment takes place. + +- The ``while`` loop executes as long as the condition remains true. + +First Steps Towards Programming (3) +=================================== + +- Standard comparison operators work like in C: ``<``, ``>``, ``==``, + ``<=``, ``>=``, ``!=``. + +- Any non-zero value is true, like in C. Zero is false. + +- The condition may also be a string or list value; in fact any + sequence. An empty sequence is false, a non-empty sequence is true. + +First Steps Towards Programming (4) +=================================== + +:: + + >>> s = [1, 2] + >>> len(s) >= 3 + False + >>> if s: + ... print "Non-empty" + ... print "Length:", len(s) + Non-empty + Length: 2 + +First Steps Towards Programming (5) +=================================== + +- The *body* of the loop is *indented*: indentation is how Python + groups statements. In practice your editor will help with + indenting. + +- The ``print`` statement writes the value of the expression it is + given. A trailing comma avoids newline after the input. + +``If`` statment +=============== + +:: + + >>> x = 42 + >>> if x < 0: + ... x = 0 + ... print 'Negative changed to zero' + ... elif x == 0: + ... print 'Zero' + ... elif x == 1: + ... print 'Single' + ... else: + ... print 'More' + ... + More + +``If`` statement (2) +==================== + +- There can be zero or more ``elif`` parts and the ``else`` part is + optional. + +- ``elif`` is short for *else if* + +- An ``if`` ... ``elif`` ... ``elif`` ... sequence is a substitute for + the ``switch`` or ``case`` statements found in other languages. + +``For`` statement +================= + +:: + + >>> # Measure some strings: + ... a = ['cat', 'window', 'defenestrate'] + >>> for x in a: + ... print x, len(x) + ... + cat 3 + window 6 + defenestrate 12 + +``For`` statement (2) +===================== + +- May be different to what you're used to. + +- The ``for`` statement in Python always iterates over items of any + sequence in the order that they appear in the sequence. + +``For`` statement (3) +===================== + +It is not safe to modify the sequence being iterated over. Make a +copy if you need to:: + + >>> for x in a[:]: # make a slice copy + ... if len(x) > 6: a.insert(0, x) + ... + >>> a + ['defenestrate', 'cat', 'window', 'defenestrate'] + +``range`` function +================== + +The ``range`` function generates lists containing arithmetic +progressions:: + + >>> range(10) # end point is never part of the list + [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] + >>> range(5, 10) # range starts at 5 + [5, 6, 7, 8, 9] + >>> range(0, 10, 3) # increment is 3 + [0, 3, 6, 9] + +``break`` and ``continue`` statments +==================================== + +- The ``break`` statement breaks out of the smallest enclosing ``for`` + or ``while`` loop. + +- The ``continue`` statement continues with the next iteration of the + loop. + +- That is, both statements work just like in C. + +``break`` and ``continue`` statments (2) +======================================== + +:: + + <<< a + ['defenestrate', 'cat', 'window', 'defenestrate'] + <<< f = raw_input("Find: ") + Find: window + <<< for x in a: + ... if f == x: + ... print "Found", f + ... break + ... + Found window + +``else`` clauses on loops +========================= + +Loop statements may have an ``else`` clause that's executed when the +loop was **not** terminated by a ``break``. + +``else`` clauses on loops (2) +============================= + +:: + + >>> f = 'dog' + >>> for x in a: + ... if f == x: + ... print "Found", f + ... break + ... else: + ... print f, "not found" + dog not found + +Exercise: Prime numbers +======================= + +Write a program that for each number between 2 and 9: + +- prints the number itself if it's a prime number +- prints two factors that multiplied together equal the number + +Exercise: Prime numbers (2) +=========================== + +- You'll use ``for``, ``range``, ``break``, and ``else``. + +- You'll need the modulo operator ``%``:: + + >>> 9 / 4 + 2 + >>> 9 % 4 + 1 + +Exercise: Prime numbers (3) +=========================== + +:: + + >>> for n in range(2, 10): + ... for x in range(2, n): + ... if n % x == 0: + ... print n, 'equals', + ... print x, '*', n/x + ... break + ... else: # inner loop fell through + ... print n, 'is a prime number' + ... + 2 is a prime number + 3 is a prime number + 4 equals 2 * 2 + 5 is a prime number + 6 equals 2 * 3 + 7 is a prime number + 8 equals 2 * 4 + 9 equals 3 * 3 + +Functions +========= + +:: + + >>> def replace(s, fro, to): + ... for i in range(len(s)): + ... if s[i] == fro: + ... s[i] = to + + >>> k = ['one', 'two'] + >>> replace(k, 'one', 'three') + >>> k + ['three', 'two'] + +Functions (2) +============= + +- The ``def`` keyword introduces a function definition, followed by + the function name and parameters in parantheses. + +- The function body starts at the next line and is indented. + +- Values in Python are *always* object references. + +Functions (3) +============= + +- Defining a function introduces the name in the current symbol table. + +- The function can be assigned to another name:: + + >>> r = replace + >>> r(k, 'three', 1) + >>> k + [1, 'two'] + +Exercise: Fibonacci function +============================ + +Write a function that writes the Fibonacci series to an arbitrary +boundary. + +Exercise: Fibonacci function (2) +================================ + +:: + + >>> def fib(n): + ... """Print Fibonacci series up to n.""" + ... a, b = 0, 1 + ... while b < n: + ... print b, + ... a, b = b, a+b + ... + >>> # Now call the function we just defined: + ... fib(2000) + 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 + +Functions (4) +============= + +Isn't ``fib`` really a procedure since it returns no value? Python +functions always have a default return value, which is ``None``. It's +not printed by the interactive mode:: + + >>> fib(0) + >>> print fib(0) + None + +Functions (5) +============= + +Use the ``return`` keyword to return a value from a function:: + + >>> def absadd(a, b): + ... return abs(a + b) + >>> absadd(-5, -10) + 15 + >>> a = absadd(absadd(-5, -10), -100) + >>> a + 85 + +Exercise: Fibonacci function (2) +================================ + +Modify your Fibonacci function to return a list instead of printing +numbers. + +You'll use the ``append`` *method* of lists:: + + >>> l = [1, 5] + >>> l.append('Nine') + >>> l + [1, 5, 'Nine'] + +Exercise: Fibonacci function (3) +================================ + +:: + + >>> def fib2(n): + ... """Fibonacci series up to n.""" + ... result = [] + ... a, b = 0, 1 + ... while b < n: + ... result.append(b) + ... a, b = b, a+b + ... return result + +Exercise: ``replace`` +===================== + +Write a function ``replace2`` that works like the ``replace`` we +defined earlier with the exception that it doesn't modify the list +that we pass to it, but returns a new list. + +Exercise: ``replace`` (2) +========================= + +:: + + >>> def replace2(s, fro, to): + ... s = s[:] # copy + ... for i in range(len(s)): + ... if s[i] == fro: + ... s[i] = to + ... return s + >>> s = ['spam', 'eggs'] + >>> replace2(s, 'eggs', 'butter') + ['spam', 'butter'] + >>> s + ['spam', 'eggs'] + +Functions (6) +============= + +:: + + >>> f100 = fib2(100) + >>> f100 + [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89] + +Function arguments +================== + +It's possible to define functions with a variable number of arguments, +like ``range``:: + + >>> range(5) + [0, 1, 2, 3, 4] + >>> range(1, 5) + [1, 2, 3, 4] + >>> range(1, 6, 2) + [1, 3, 5] + +Function arguments (2) +====================== + +*Default argument values* are very useful:: + + >>> def replace3(s, fro, to, count=0): + ... s = s[:] + ... for i in range(len(s)): + ... if s[i] == fro: + ... s[i] = to + ... count = count - 1 + ... if count == 0: break + ... return s + +Function arguments (3) +====================== + +:: + + >>> replace3(['one', 'two', 'one', 'two'], + ... 'one', 'three') + ['three', 'two', 'three', 'two'] + >>> replace3(['one', 'two', 'one', 'two'], + ... 'one', 'three', 1) + ['three', 'two', 'one', 'two'] + +Exercise: ``ask_ok`` +==================== + +:: + + >>> def ask_ok(prompt, retries=4, + ... complaint='Yes or no, plz!'): + ... """Prompt the user for yes or no. + ... Return True for positive answer or + ... False for negative answer. User will + ... be prompted a maximum of ``retries`` + ... times before ``IOException`` is + ... raised. + ... """ + +Exercise: ``ask_ok`` (2) +======================== + +Your program should: + +- print the ``prompt`` +- ask the user for input (``raw_input``) only ``retries`` times (``while``) +- print the ``complaint`` if the user gave wrong input +- return ``True`` or ``False`` or raise an error if no valid input was + given + +Exercise: ``ask_ok`` (3) +======================== + +How to *raise an exception*? :: + + >>> input = 'N' + >>> if input == 'yes': + ... value = True + ... elif input == 'no': + ... value = False + ... else: + ... raise ValueError("Invalid input!") + Traceback (most recent call last): + ValueError: Invalid input! + +Exercise: ``ask_ok`` (4) +======================== + +**Extra**: Add tolerance so that the user can enter any of *y*, *ye*, +and *yes* to answer positively, and any of *n*, *no*, *nope* to answer +negatively. For this, you may want to try the ``in`` operator:: + + >>> 'one' in ['two', 'three'] + False + +Exercise: ``ask_ok`` (5) +======================== + +.. class:: tiny +.. + + >>> def ask_ok(prompt, retries=4, + ... complaint='Yes or no, please!'): + ... while True: + ... ok = raw_input(prompt) + ... if ok in ('y', 'ye', 'yes'): + ... return True + ... if ok in ('n', 'no', 'nope'): + ... return False + ... retries = retries - 1 + ... if retries < 0: + ... raise IOError('refusenik user') + ... print complaint + +Function arguments (4) +====================== + +The function can be called like this: + +.. class:: tiny + +- ``ask_ok('Do you really want to quit?')`` +- ``ask_ok('OK to overwrite the file?', 2)`` +- ``ask_ok('OK to overwrite the file?', 2, 'yes or no')`` +- ``ask_ok('Continue? (y/n)', complaint='Come on!')`` +- ``ask_ok('Continue? (y/n)', complaint='y/n', retries=10)`` + +Function arguments (5) +====================== + +Arbitrary argument lists are less frequent: + +.. class:: tiny +.. + + >>> def cheeseshop(kind, *arguments, **keywords): + ... print "-- Do you have any", kind, "?" + ... print "-- I'm sorry, we're all out of", kind + ... for arg in arguments: + ... print arg + ... print "-" * 40 + ... keys = keywords.keys() + ... keys.sort() + ... for kw in keys: print kw, ":", keywords[kw] + +Function arguments (6) +====================== + +.. class:: tiny +.. + + >>> cheeseshop("Limburger", "It's very runny, sir.", + ... "It's really very, VERY runny, sir.", + ... shopkeeper='Michael Palin', + ... client="John Cleese", + ... sketch="Cheese Shop Sketch") + -- Do you have any Limburger ? + -- I'm sorry, we're all out of Limburger + It's very runny, sir. + It's really very, VERY runny, sir. + ---------------------------------------- + client : John Cleese + shopkeeper : Michael Palin + sketch : Cheese Shop Sketch + +Function arguments (7) +====================== + +If your arguments are already in a list (or tuple), you can use the +``*`` operator to unpack the arguments:: + + >>> range(3, 6) # normal call + [3, 4, 5] + >>> args = [3, 6] + >>> range(*args) # arguments unpacked + [3, 4, 5] + +Function arguments (8) +====================== + +The same works with keyword arguments and dictionaries: + +.. class:: tiny +.. + + >>> def parrot(voltage, state='a stiff', action='voom'): + ... print "-- This parrot wouldn't", action, + ... print "if you put", voltage, "volts through it.", + ... print "E's", state, "!" + >>> d = {"voltage": "four million", + ... "state": "bleedin' demised", + ... "action": "VOOM"} + >>> parrot(**d) + -- This parrot wouldn't VOOM if you put four million volts through it. E's bleedin' demised ! + +Exercise: ``range2`` +==================== + +Write a function ``range2`` that acts just like the Python built-in. + +You'll probably use a variable number of positional, non-keyword +arguments. + +To remind yourself how ``range`` works, see ``help(range)``. + +Exercise: ``range2`` (2) +======================== + +:: + + >>> def range2(*args): + ... start, step = 0, 1 + ... if len(args) > 1: + ... start, stop = args[:2] + ... else: + ... stop = args[0] + ... if len(args) == 3: + ... step = args[2] + ... return range(start, stop, step) + +Exercise: ``range2`` (3) +======================== + +:: + + >>> range2(5) + [0, 1, 2, 3, 4] + >>> range2(1, 5) + [1, 2, 3, 4] + >>> range2(1, 6, 2) + [1, 3, 5] + +Finding documentation +===================== + +Python has great built-in documentation facilities. Try +``help(max)`` or ``help(filter)``. + +Exercise: Using ``max`` +======================= + +Use ``max`` to find the largest element of the list ``l``. + +Exercise: Using ``filter`` +========================== + +Use ``filter`` to remove all zeros from a list of numbers like this +one:: + + >>> l = [5, 4, 3, 0, 2, 1, 0] + +Finding documentation (2) +========================= + +How to know what methods a list has? Remember there was ``l.append``. + +What other methods exist? Try ``dir(l)``. For each method, you can +do ``help(method)``, like ``help(l.insert)``. You can also do +``help(l)``. + +Exercise: Some sorting +====================== + +Write a function ``sort_in`` that takes a list and an element to sort +into the list. The function should modify the list *in place* and +expect the list to be sorted already. + +You'll probably use ``range``. Try out ``l.insert``. + +Exercise: Some sorting (2) +========================== + +Let's also look at how ``enumerate`` works:: + + >>> for index, value in enumerate( + ... ['un', 'deux', 'trois']): + ... print index, value + ... + 0 un + 1 deux + 2 trois + +Exercise: Some sorting (3) +========================== + +:: + + >>> def sort_in(s, el): + ... for index, item in enumerate(s): + ... if el < item: + ... break + ... else: + ... index = len(s) + ... s.insert(index, el) + ... return s + +Exercise: Some sorting (4) +========================== + +Let's try it out:: + + >>> sort_in([3, 5], 4) + [3, 4, 5] + >>> sort_in([], 3) + [3] + >>> sort_in([5], 3) + [3, 5] + >>> sort_in([5], 6) + [5, 6] + +Exercise: Some sorting (5) +========================== + +For more sorting, check out the ``sorted`` built-in. + +Try ``sorted`` to reverse sort the items in a list. + +Exercise: Some sorting (6) +========================== + +:: + + >>> s = ['a', 'z', 'b', 'f'] + >>> sorted(s, reverse=True) + ['z', 'f', 'b', 'a'] + >>> s # s is still the old list + ['a', 'z', 'b', 'f'] + >>> s.sort(reverse=True) # in-place + >>> s + ['z', 'f', 'b', 'a'] + +More functions +============== + +Functions in Python are first class objects:: + + >>> def divide_by_2(x): + ... return x / 2 + ... + >>> divide_by_2 + + >>> divide_by_2(10) + 5 + +More functions (2) +================== + +We can pass one function as an argument to another:: + + >>> def is_lower(s): + ... return s.islower() + >>> filter(is_lower, + ... ['Spam', 'eggs', 'limBurger']) + ['eggs'] + +More functions (3) +================== + +Create functions on the fly: + +.. class:: tiny +.. + + >>> def divide_by_factory(n): + ... def divide_by_n(x): + ... return x / n + ... return divide_by_n + >>> divide_by_2 = divide_by_factory(2) + >>> divide_by_5 = divide_by_factory(5) + >>> divide_by_2(10) + 5 + >>> divide_by_5(50) + 10 + +List comprehensions +=================== + +Easier to read than ``filter``:: + + >>> l = ['Spam', 'eggs', 'limBurger'] + >>> [w for w in l if w.islower()] + ['eggs'] + +Exercise: More sorting +====================== + +``sorted`` takes an optional ``key`` argument. If provided, this must +be a function that takes an element and returns a value suitable for +sorting that element: a *predicate*. + +Exercise: More sorting (2) +========================== + +Write a function ``even_sort`` that takes a list with numbers and +returns a new list with even numbers before odd ones. + +So ``[4, 5, 6, 7, 8]`` will result in ``[4, 6, 8, 5, 7]``. + +Exercise: More sorting (3) +========================== + +:: + + >>> def modulo2(number): + ... return number % 2 + >>> def even_sort(s): + ... return sorted(s, key=modulo2) + + >>> even_sort([4, 5, 6, 7, 8]) # stable + [4, 6, 8, 5, 7] + +Lambda +====== + +With the keyword ``lambda``, small anonymous functions can be created. +This function:: + + >>> lambda a, b: a + b + at ...> + +Is equivalent to this one:: + + >>> def add(a, b): + ... return a + b + +Lambda (2) +========== + +We can also assign the former a name:: + + >>> add = lambda a, b: a + b + >>> add(5, -3) + 2 + +Exercise: More sorting (3) +========================== + +Instead of defining a separate ``modulo2`` function, we can use a +``lambda`` function with ``even_sort``:: + + >>> def even_sort2(s): + ... return sorted(s, key=lambda n: n%2) + + >>> even_sort2([4, 5, 6, 7, 8]) + [4, 6, 8, 5, 7] + +Exercise: More sorting (4) +========================== + +Use ``sorted`` to reverse the order of a list. But this time, don't +use the ``reverse`` argument, but do it with a ``key`` parameter. + +Exercise: More sorting (5) +========================== + +These two are thus equivalent:: + + >>> sorted([5, 9, 3, 5], key=lambda n:-n) + [9, 5, 5, 3] + + >>> sorted([5, 9, 3, 5], reverse=True) + [9, 5, 5, 3] + +More on lists +============= + +- ``list.append(x)`` +- ``list.extend(L)`` +- ``list.insert(i, x)`` +- ``list.remove(x)`` +- ``list.pop([i])`` + +More on lists (2) +================= + +- ``list.count(x)`` +- ``list.sort()`` +- ``list.reverse()`` + +Using lists as stacks +===================== + +LIFO:: + + >>> stack = [3, 4, 5] + >>> stack.append(6) + >>> stack.append(7) + >>> stack + [3, 4, 5, 6, 7] + +Using lists as stacks (2) +========================= + +:: + + >>> stack + [3, 4, 5, 6, 7] + >>> stack.pop() + 7 + >>> stack + [3, 4, 5, 6] + >>> stack.pop() + 6 + +Using lists as queues +===================== + +FIFO:: + + >>> queue = ["Eric", "John", "Michael"] + >>> queue.append("Terry") # Terry arrives + >>> queue.append("Graham") # Graham arrives + >>> queue.pop(0) + 'Eric' + >>> queue + ['John', 'Michael', 'Terry', 'Graham'] + +Files +===== + +``open`` returns a file object, and is most commonly used with two +arguments: ``open(filename, mode)``. + +:: + + >>> f = open('/tmp/workfile', 'w') + >>> print f + + +Files (2) +========= + +The second argument is a string containing a few characters describing +the way in which the file will be used: + +- ``'r'`` is for only reading +- ``'w'`` is for only writing +- ``'a'`` is for appending +- ``r+`` is for read and write + +Files (3) +========= + +On Windows, ``'b'`` appended to the mode opens the file in binary +mode, so there are also modes like ``'rb'``, ``'wb'``, and ``'r+b'``. +Windows makes a distinction between text and binary files; the +end-of-line characters in text files are automatically altered +slightly when data is read or written. + +Files (4) +========= + +Let's write to our previously opened file: + + >>> f.write('This is the first.\n') + >>> f.close() # flush + +Files (5) +========= + +We can now read it:: + + >>> f = open('/tmp/workfile') # 'r' default + >>> f.read() # read the entire file + 'This is the first.\n' + >>> f.close() + +Files (6) +========= + +Let's write more to our file:: + + >>> f = open('/tmp/workfile', 'a') + >>> f.write("""This is the second, + ... and this is the third line. + ... """) + >>> f.close() # flush + +Files (7) +========= + +We can read lines by looping over the file object: + + >>> f = open('/tmp/workfile', 'r') + >>> for line in f: + ... print line, # includes \n + This is the first. + This is the second, + and this is the third line. + >>> f.close() + +Exercise: ``replacef`` +====================== + +Write a function ``replacef`` that takes the name of a file, and two +strings. The function should replace in the given file all +occurrences of the first string by the second one. + +Exercise: ``replacef`` (2) +========================== + +:: + + >>> def replacef(fn, fro, to): + ... f = open(fn) + ... contents = f.read() + ... f.close() + ... f = open(fn, 'w') + ... f.write(contents.replace(fro, to)) + ... f.close() + +Exercise: ``replacef`` (3) +========================== + +Let's try it out:: + + >>> replacef('/tmp/workfile', ' is', ' be') + >>> f = open('/tmp/workfile') + >>> print f.read() + This be the first. + This be the second, + and this be the third line. + >>> f.close() + +Encoding strings +================ + +The ``encode`` and ``decode`` methods of strings are useful:: + + >>> s = 'Hello, Python African Tour!'.encode('base64') + >>> s + 'SGVsbG8sIFB5dGhvbiBBZnJpY2FuIFRvdXIh\n' + >>> s.decode('base64') + 'Hello, Python African Tour!' + +Our first Python module +======================= + +Let's create our first script: + +- Create a new file called ``rot13.py`` +- We'll write our code into the file now. Be careful with indentation, + and don't write ``>>>`` or ``...``. + +Our first Python module (2) +=========================== + +Write:: + + def encode_rot13(fn_in, fn_out): + f = open(fn_in) + contents = f.read() + f.close() + f = open(fn_out, 'w') + f.write(contents.encode('rot13')) + f.close() + +Our first Python module (3) +=========================== + +At the end, write:: + + if __name__ == '__main__': + import sys + encode_rot13(sys.argv[1], sys.argv[2]) + +Our first Python module (4) +=========================== + +Call it:: + + python rot13.py myfile.txt myfile-encoded.txt + +Exercise: ``encode.py`` +======================= + +Write a script:: + + encode.py + +Encode the and write out to . + +Exercise: ``encode.py`` (2) +=========================== + +**Extra**: If is ommitted, then should be +overwritten. + +Look at ``sys.argv``. + +Exercise: ``encode.py`` (3) +=========================== + +**Extra**:: + + encode + +E.g.:: + + encode iso-8859-1 utf-8 orig.txt conv.txt + +You'll need ``''.encode`` and ``''.decode`` methods! + +Tuples +====== + +Tuples are like lists, except that they're immutable, like strings:: + + >>> t = (12345, 54321, 'hello!') + >>> t[0] + 12345 + >>> t[0] = 67890 + Traceback (most recent call last): + ... + TypeError: 'tuple' object does not support item assignment + +Tuples (2) +========== + +A nice feature of Python is *sequence unpacking*:: + + >>> x, y, z = t + >>> x + 12345 + >>> y + 54321 + >>> z + 'hello!' + +Tuples (3) +========== + +We saw sequence unpacking before, with ``enumerate``:: + + >>> for index, item in enumerate( + ... ("Un", "Deux", "Trois")): + ... print index, item + 0 Un + 1 Deux + 2 Trois + >>> tuple(enumerate(("Un", "Deux", "Trois"))) + ((0, 'Un'), (1, 'Deux'), (2, 'Trois')) + +Sets +==== + +A set is an unordered collection with no duplicate elements:: + + >>> basket = ['apple', 'orange', 'apple', + ... 'pear', 'orange', 'banana'] + >>> fruit = set(basket) # no duplicates + >>> fruit + set(['orange', 'pear', 'apple', 'banana']) + +Sets (2) +======== + +:: + + >>> 'orange' in fruit # fast test + True + >>> 'crabgrass' in fruit + False + >>> fruit.add('strawberry') + >>> len(fruit) + 5 + +Sets (3) +======== + +Set operations on word letters:: + + >>> a = set('abracadabra') + >>> b = set('alacazam') + >>> a # unique letters in a + set(['a', 'r', 'b', 'c', 'd']) + >>> a - b # letters in a but not in b + set(['r', 'b', 'd']) + +Sets (4) +======== + +Set operations on word letters contd.:: + + >>> union = a | b + >>> intersection = a & b + >>> xor = a ^ b + +Exercise: ``common.py`` +======================= + +Write a script ``common.py``:: + + python common.py [file2] [file3] [...] + +This script should print out a sorted list of common words in all +files. + +Use the ``''.split`` method to get a list of words in a file. + +Exercise: ``common.py`` (2) +=========================== + +:: + + >>> def common(contents): + ... words = set(contents[0].split()) + ... for s in contents[1:]: + ... words &= set(s.split()) + ... return sorted(words) + +Exercise: ``common.py`` (3) +=========================== + +:: + + >>> common(["This is the first line", + ... "This is the second line", + ... "This is the third line", + ... "This line is funny"]) + ['This', 'is', 'line'] + +Exercise: ``common.py`` (4) +=========================== + +:: + + if __name__ == '__main__': + all_contents = [] + for fn in sys.argv[1:]: + f = open(fn) + all_contents.append(f.read()) + f.close() + common(all_contents) + +Exercise: ``common.py`` (5) +=========================== + +Make ``common.py`` case-insensitive. Look at helpful methods of a +string. Try ``help(str)``. + +Dictionaries +============ + +A dictionary is an unordered set of *key: value* pairs, with the +requirement that the keys are unique. + +A pair of braces creates an empty dictionary: ``{}``. Placing a +comma-separated list of key:value pairs within the braces adds initial +key:value pairs to the dictionary, like ``{1: 'un'}``. + +Dictionaries (2) +================ + +Any immutable type can be used as a key, like strings and tuples. +Lists may not be used as keys, since they can be modified in place. + +Dictionaries (3) +================ + +The main operations are: + +- storing a value with some key +- extracting a value given the key + +:: + + >>> tel = {'jack': 4098, 'sape': 4139} + >>> tel['guido'] = 4127 + >>> tel['jack'] + 4098 + +Dictionaries (4) +================ + +:: + + >>> tel + {'sape': 4139, 'jack': 4098, 'guido': 4127} + >>> del tel['sape'] + >>> tel['irv'] = 4127 + >>> tel + {'jack': 4098, 'irv': 4127, 'guido': 4127} + >>> tel.keys() + ['jack', 'irv', 'guido'] + >>> 'guido' in tel + True + +Dictionaries (5) +================ + +Looping over dictionaries:: + + >>> for key in tel: + ... print key, + jack irv guido + + >>> for key, value in tel.items(): + ... print '%s: %s' % (key, value) + jack: 4098 + irv: 4127 + guido: 4127 + +Exercise: ``count.py`` +====================== + +Make a script ``count.py`` that returns a list of words in a given +file along with the number of their occurrences, like this:: + + 33 is + 25 there + 21 are + ... + +Exercise: ``count.py`` (2) +========================== + +:: + + >>> def count(text): + ... table = {} + ... for word in text.split(): + ... table.setdefault(word, 0) + ... table[word] += 1 + ... return table + +Exercise: ``count.py`` (3) +========================== + +:: + + >>> def count_format(text): + ... pairs = count(text).items() + ... pairs.sort(key=lambda i:-i[1]) + ... for word, occ in pairs: + ... print occ, word + +Exercise: ``count.py`` (4) +========================== + +Let's try it out:: + + >>> f = open('/usr/share/doc/time/README') + >>> count_format(f.read()) + 5 and + 5 the + 2 program + 2 GNU + 2 as + ... + >>> f.close() + +Exercise: ``count.py`` (5) +========================== + +Our count program has a little problem: It'll interpret punctuation +characters as part of a word, like with "there," or "file.". + +Look at method ``''.strip()`` to see how to fix this. Also look at +the ``string`` module for useful constants. Use ``import string; +help(string)``. + +Exercise: ``count.py`` (6) +========================== + +:: + + >>> import string + >>> '-file;.'.strip(string.punctuation) + 'file' + +Zen of Python +============= + +:: + + >>> import this + The Zen of Python, by Tim Peters... + +Classes +======= + +:: + + >>> yussuf = {'firstname': 'Yussuf', + ... 'lastname': 'Islam'} + >>> def fullname(record): + ... value = record['firstname'] + ... middlename = record.get('middlename') + ... if middlename: + ... value += ' ' + middlename + ... value += ' ' + record['lastname'] + ... return value + +Classes (2) +=========== + +:: + + >>> fullname(yussuf) + 'Yussuf Islam' + >>> michael = {'firstname': 'Michael', + ... 'lastname': 'Palin', + ... 'middlename': 'Abraham'} + >>> fullname(michael) + 'Michael Abraham Palin' + +Classes (3) +=========== + +.. class:: tiny +.. + + >>> class Person: + ... def __init__(self, firstname, lastname, + ... middlename=''): + ... self.firstname = firstname + ... self.lastname = lastname + ... self.middlename = middlename + ... def fullname(self): + ... value = self.firstname + ... if self.middlename: + ... value += ' ' + self.middlename + ... value += ' ' + self.lastname + ... return value + +Classes (4) +=========== + +:: + + >>> me = Person('Daniel', 'Nouri') + >>> john = Person('John', 'Cleese') + >>> michael = Person( + ... 'Michael', 'Palin', 'Abraham') + +Classes (5) +=========== + +:: + + >>> me.firstname + 'Daniel' + >>> me.middlename + '' + >>> me.fullname() + 'Daniel Nouri' + >>> michael.fullname() + 'Michael Abraham Palin' + +Classes (6) +=========== + +:: + + >>> persons = [john, me, michael] + >>> persons.sort() + + <<< persons[0].lastname + 'Nouri' + <<< persons[1].lastname + 'Cleese' + <<< persons[2].lastname + 'Palin' + +Classes (6) +=========== + +:: + + >>> class SortablePerson(Person): + ... def __lt__(self, other): + ... return self.lastname < other.lastname + +Classes (7) +=========== + +:: + + >>> SP = SortablePerson + >>> persons = [ + ... SP('John', 'Cleese'), + ... SP('Daniel', 'Nouri'), + ... SP('Michael', 'Palin', 'Abraham'), + ... ] + +Classes (8) +=========== + +:: + + >>> persons.sort() + >>> persons[0].fullname() + 'John Cleese' + >>> persons[1].fullname() + 'Daniel Nouri' + >>> persons[2].fullname() + 'Michael Abraham Palin' + From a1b1eb3c8c63f7fb6740dc4975ed9e0e070f4213 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Mon, 18 Dec 2017 16:49:48 +0530 Subject: [PATCH 002/105] Update examples.md --- examples.md | 19 +------------------ 1 file changed, 1 insertion(+), 18 deletions(-) diff --git a/examples.md b/examples.md index 7d63ffe..269d7b6 100644 --- a/examples.md +++ b/examples.md @@ -1,21 +1,4 @@ -==================================== -Python programming language tutorial -==================================== - -:Version: 0.2 of 03.06.2010 - -.. contents:: -.. include:: - -Daniel Nouri -============ - -I am: - -- Python developer since 2001 -- Independent web developer -- http://danielnouri.org -- daniel.nouri@gmail.com +Python Resources ========= From a9e5c76e2d955c40a61d35750d1d69888f625e16 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Mon, 18 Dec 2017 18:27:24 +0530 Subject: [PATCH 003/105] Update index.md --- index.md | 135 ++++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 125 insertions(+), 10 deletions(-) diff --git a/index.md b/index.md index 86bd8c5..f608d8a 100644 --- a/index.md +++ b/index.md @@ -1,6 +1,6 @@ # Python 1. Introductions - * Resources + * What is python * general description of Python * Interactive Python 2. Lexical matters @@ -9,25 +9,140 @@ * Names and tokens * Doc strings * Whitespaces and indentation -3. Variables and Datatypes +3. Variables * what is Variables * Naming Variables * Keywords * Assign Multiple Variables - * Expressions and statements -4. Strings + * Modulus opertions + * String operations + * Type Conversions +4. Operators and expressions + + * Operators + * Example of integer arithmetic + * Relational Operators + * Logical Operators + * Shorthand Operator + * Expressions + +5. Strings * what is a String ? * How to declare string ? + * Strings are immutable * Concatination * Reproduction + * The in operator * Formatting strings * Escape Characters * String Slicing + * Parsing string * Escape Characters * Some useful built in Functions -5. Loops - * while -6. Condition - * if - * if-else -7. Function + +6. Conditional execution + Boolean expres + Logical operation + If statement + Conditional execu + Chained condition + Nested condition +7. Iteration + * while: statement + * Infinite loop + * continue and break statements + * the for loop +8. Collections + * List + * A list is a sequence + * Lists are mutable + * Traversing a list + * List operations + * List slices + * List methods + * Deleting elements + * Lists and functions + * Lists and strings + * Tuples + * Tuples are immutable + * Comparing tuples + * Tuple assignment + * Dictionaries + * Dictionaries syntax + * Dictionaries operations + * Dicionaries are mutable + * Dictionaries methods + * Deleting items +9. Exception Handling + * NameError + * TypeError + * How to handle exceptions? + * Raising exceptions + * Using finally for cleanup +10. Function + * The def statement + * Returning values + * Parameters + * Arguments + * Local variables + * Global variables and the global statement + * Doc strings for functions + * Decorators for functions + * lambda + * Iterators and generators +11. Files + * File opening + * Closing a file + * Reading a file + * Using the with statement + * Writing in a file +12. Modules + * Introduction + * Importing modules + * Submodules + * __all__ in __init__.py + * Default modules + * Module os + * Requests Module + * Command line arguments +13. Class + * A simple class + * Defining methods + * The constructor + * Member variables + * Calling methods + * Adding inheritance + * Class variables + * Class methods and static methods + * Properties +14. Object-Oriented Programming + * Managing Larger Programs + * Getting Started + * Using Objects + * Starting with Programs + * Subdividing a Problem - Encapsulation + * Our First Python Object + * Classes as Types + * Object Lifecycle + * Many Instances + * Inheritance +15. Regular Expressions + * Defining regular expressions + * Compiling regular expressions + * Using regular expressions + * Using match objects to extract a value + * Extracting multiple items + * Replacing multiple items +16. Using Databases and SQL + * What is a database? + * Database concepts + * Creating a database table + * closing database +17. parsing data + * json + * yaml + + + + + From f695f92f2e6e1aa60e7f68b2da17492251b37958 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Mon, 18 Dec 2017 18:29:07 +0530 Subject: [PATCH 004/105] Update index.md --- index.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/index.md b/index.md index f608d8a..7be6847 100644 --- a/index.md +++ b/index.md @@ -41,12 +41,12 @@ * Some useful built in Functions 6. Conditional execution - Boolean expres - Logical operation - If statement - Conditional execu - Chained condition - Nested condition + * Boolean expres + * Logical operation + * If statement + * Conditional execu + * Chained condition + * Nested condition 7. Iteration * while: statement * Infinite loop From b0434383c61f8baba31bb6b544d7534471071691 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Mon, 18 Dec 2017 19:20:04 +0530 Subject: [PATCH 005/105] Update index.md --- index.md | 104 +++++++++++++++++++++++++++---------------------------- 1 file changed, 52 insertions(+), 52 deletions(-) diff --git a/index.md b/index.md index 7be6847..56a16ed 100644 --- a/index.md +++ b/index.md @@ -80,64 +80,64 @@ * Raising exceptions * Using finally for cleanup 10. Function - * The def statement - * Returning values - * Parameters - * Arguments - * Local variables - * Global variables and the global statement - * Doc strings for functions - * Decorators for functions - * lambda - * Iterators and generators + * The def statement + * Returning values + * Parameters + * Arguments + * Local variables + * Global variables and the global statement + * Doc strings for functions + * Decorators for functions + * lambda + * Iterators and generators 11. Files - * File opening - * Closing a file - * Reading a file - * Using the with statement - * Writing in a file + * File opening + * Closing a file + * Reading a file + * Using the with statement + * Writing in a file 12. Modules - * Introduction - * Importing modules - * Submodules - * __all__ in __init__.py - * Default modules - * Module os - * Requests Module - * Command line arguments + * Introduction + * Importing modules + * Submodules + * __all__ in __init__.py + * Default modules + * Module os + * Requests Module + * Command line arguments 13. Class - * A simple class - * Defining methods - * The constructor - * Member variables - * Calling methods - * Adding inheritance - * Class variables - * Class methods and static methods - * Properties + * A simple class + * Defining methods + * The constructor + * Member variables + * Calling methods + * Adding inheritance + * Class variables + * Class methods and static methods + * Properties 14. Object-Oriented Programming - * Managing Larger Programs - * Getting Started - * Using Objects - * Starting with Programs - * Subdividing a Problem - Encapsulation - * Our First Python Object - * Classes as Types - * Object Lifecycle - * Many Instances - * Inheritance + * Managing Larger Programs + * Getting Started + * Using Objects + * Starting with Programs + * Subdividing a Problem - Encapsulation + * Our First Python Object + * Classes as Types + * Object Lifecycle + * Many Instances + * Inheritance 15. Regular Expressions - * Defining regular expressions - * Compiling regular expressions - * Using regular expressions - * Using match objects to extract a value - * Extracting multiple items - * Replacing multiple items + * Defining regular expressions + * Compiling regular expressions + * Using regular expressions + * Using match objects to extract a value + * Extracting multiple items + * Replacing multiple items 16. Using Databases and SQL - * What is a database? - * Database concepts - * Creating a database table - * closing database + * What is a database? + * Database concepts + * Creating a database table + * closing database 17. parsing data * json * yaml From db8ab34c1b27515e59ec6e12fdbe4ab14636e73c Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:04:23 +0530 Subject: [PATCH 006/105] Create Introduction.md --- Introduction.md | 72 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 Introduction.md diff --git a/Introduction.md b/Introduction.md new file mode 100644 index 0000000..efcdaa3 --- /dev/null +++ b/Introduction.md @@ -0,0 +1,72 @@ +# what is python ? + * Python is a high-level general purpose programming language: + * Because code is automatically compiled to byte code and executed, Python is suitable for use as a scripting language, Web application implementation language, etc. + * Because Python can be extended in C and C++, Python can provide the speed needed for even compute intensive tasks. + * Because of its strong structuring constructs (nested code blocks, functions, classes, modules, and packages) and its consistent use of objects and object-oriented programming, Python enables us to write clear, logical applications for small and large tasks. + * Important features of Python: + * Built-in high level data types: strings, lists, dictionaries, etc. + * The usual control structures: if, if-else, if-elif-else, while, plus a powerful collection iterator (for). + * Multiple levels of organizational structure: functions, classes, modules, and packages. These assist in organizing code. An excellent and large example is the Python standard library. + * Compile on the fly to byte code -- Source code is compiled to byte code without a separate compile step. Source code modules can also be "pre-compiled" to byte code files. + * Object-oriented -- Python provides a consistent way to use objects: everything is an object. And, in Python it is easy to implement new object types (called classes in object-oriented programming). + * Some things you will need to know: + + Python uses indentation to show block structure. Indent one level to show the beginning of a block. Out-dent one level to show the end of a block. As an example, the following C-style code: +``` + if (x) + { + if (y) + { + f1() + } + f2() + } +``` + in Python would be: +``` + if x: + if y: + f1() + f2() +``` +And, the convention is to use four spaces (and no hard tabs) for each level of indentation. Actually, it's more than a convention; it's practically a requirement. Following that "convention" will make it so much easier to merge your Python code with code from other sources. + +## An overview of Python: + + A scripting language -- Python is suitable (1) for embedding, (2) for writing small unstructured scripts, (3) for "quick and dirty" programs. + + Not a scripting language -- (1) Python scales. (2) Python encourages us to write code that is clear and well-structured. + + Interpreted, but also compiled to byte-code. Modules are automatically compiled (to .pyc) when imported, but may also be explicitly compiled. + + Provides an interactive command line and interpreter shell. In fact, there are several. + + Dynamic -- For example: + Types are bound to values, not to variables. + Function and method lookup is done at runtime. + Values are inspect-able. + There is an interactive interpreter, more than one, in fact. + You can list the methods supported by any given object. + + Strongly typed at run-time, not compile-time. Objects (values) have a type, but variables do not. + + Reasonably high level -- High level built-in data types; high level control structures (for walking lists and iterators, for example). + + Object-oriented -- Almost everything is an object. Simple object definition. Data hiding by agreement. Multiple inheritance. Interfaces by convention. Polymorphism. + + Highly structured -- Statements, functions, classes, modules, and packages enable us to write large, well-structured applications. Why structure? Readability, locate-ability, modifiability. + + Explicitness + + First-class objects: + Definition: Can (1) pass to function; (2) return from function; (3) stuff into a data structure. + Operators can be applied to values (not variables). Example: f(x)[3] + + Indented block structure -- "Python is pseudo-code that runs." + + Embedding and extending Python -- Python provides a well-documented and supported way (1) to embed the Python interpreter in C/C++ applications and (2) to extend Python with modules and objects implemented in C/C++. + In some cases, SWIG can generate wrappers for existing C/C++ code automatically. See http://www.swig.org/ + Cython enables us to generate C code from Python and to "easily" create wrappers for C/C++ functions. See http://www.cosc.canterbury.ac.nz/~greg/python/Pyrex/ + To embed and extend Python with Java, there is Jython. See http://www.jython.org/ + + Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) From b80a7a92d1102306662e903d2ae01879a7e8df69 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:07:46 +0530 Subject: [PATCH 007/105] Update Introduction.md --- Introduction.md | 41 ++++++++++++++++++----------------------- 1 file changed, 18 insertions(+), 23 deletions(-) diff --git a/Introduction.md b/Introduction.md index efcdaa3..ad72631 100644 --- a/Introduction.md +++ b/Introduction.md @@ -33,40 +33,35 @@ And, the convention is to use four spaces (and no hard tabs) for each level of i ## An overview of Python: - A scripting language -- Python is suitable (1) for embedding, (2) for writing small unstructured scripts, (3) for "quick and dirty" programs. + * A scripting language -- Python is suitable (1) for embedding, (2) for writing small unstructured scripts, (3) for "quick and dirty" programs. - Not a scripting language -- (1) Python scales. (2) Python encourages us to write code that is clear and well-structured. + * Not a scripting language -- (1) Python scales. (2) Python encourages us to write code that is clear and well-structured. - Interpreted, but also compiled to byte-code. Modules are automatically compiled (to .pyc) when imported, but may also be explicitly compiled. + * Interpreted, but also compiled to byte-code. Modules are automatically compiled (to .pyc) when imported, but may also be explicitly compiled. - Provides an interactive command line and interpreter shell. In fact, there are several. + * Provides an interactive command line and interpreter shell. In fact, there are several. - Dynamic -- For example: - Types are bound to values, not to variables. - Function and method lookup is done at runtime. - Values are inspect-able. - There is an interactive interpreter, more than one, in fact. - You can list the methods supported by any given object. + * Dynamic -- For example: + * Types are bound to values, not to variables. + * Function and method lookup is done at runtime. + * Values are inspect-able. + * There is an interactive interpreter, more than one, in fact. + * You can list the methods supported by any given object. - Strongly typed at run-time, not compile-time. Objects (values) have a type, but variables do not. + * Strongly typed at run-time, not compile-time. Objects (values) have a type, but variables do not. - Reasonably high level -- High level built-in data types; high level control structures (for walking lists and iterators, for example). + * Reasonably high level -- High level built-in data types; high level control structures (for walking lists and iterators, for example). - Object-oriented -- Almost everything is an object. Simple object definition. Data hiding by agreement. Multiple inheritance. Interfaces by convention. Polymorphism. + * Object-oriented -- Almost everything is an object. Simple object definition. Data hiding by agreement. Multiple inheritance. Interfaces by convention. Polymorphism. - Highly structured -- Statements, functions, classes, modules, and packages enable us to write large, well-structured applications. Why structure? Readability, locate-ability, modifiability. + * Highly structured -- Statements, functions, classes, modules, and packages enable us to write large, well-structured applications. Why structure? Readability, locate-ability, modifiability. - Explicitness + * Explicitness - First-class objects: + * First-class objects: Definition: Can (1) pass to function; (2) return from function; (3) stuff into a data structure. Operators can be applied to values (not variables). Example: f(x)[3] - Indented block structure -- "Python is pseudo-code that runs." + * Indented block structure -- "Python is pseudo-code that runs." - Embedding and extending Python -- Python provides a well-documented and supported way (1) to embed the Python interpreter in C/C++ applications and (2) to extend Python with modules and objects implemented in C/C++. - In some cases, SWIG can generate wrappers for existing C/C++ code automatically. See http://www.swig.org/ - Cython enables us to generate C code from Python and to "easily" create wrappers for C/C++ functions. See http://www.cosc.canterbury.ac.nz/~greg/python/Pyrex/ - To embed and extend Python with Java, there is Jython. See http://www.jython.org/ - - Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) + * Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) From 8489d2e95ca3635fc17aa1e46550dfd1c8d07b2b Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:23:14 +0530 Subject: [PATCH 008/105] Update Introduction.md --- Introduction.md | 220 ++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 214 insertions(+), 6 deletions(-) diff --git a/Introduction.md b/Introduction.md index ad72631..10b36fa 100644 --- a/Introduction.md +++ b/Introduction.md @@ -55,13 +55,221 @@ And, the convention is to use four spaces (and no hard tabs) for each level of i * Object-oriented -- Almost everything is an object. Simple object definition. Data hiding by agreement. Multiple inheritance. Interfaces by convention. Polymorphism. * Highly structured -- Statements, functions, classes, modules, and packages enable us to write large, well-structured applications. Why structure? Readability, locate-ability, modifiability. + + * Indented block structure -- "Python is pseudo-code that runs." + + * Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) + ## Python interpreter + ### There are two modes for using the Python interpreter: + * Interactive Mode + * Script Mode + +## Comments +Comments are any text to the right of the # symbol and is mainly useful as notes for the reader of the program. +eg: +``` + print('hello world') # Note that print is a function + + or + # Note that print is a function + print('hello world') +``` +### Use as many useful comments as you can in your program to: + * explain assumptions + * explain important decisions + * explain important details + * explain problems you're trying to solve + * explain problems you're trying to overcome in your program, etc +### types of comments + * single line comment use (#) + * Multiple line comments use(''' or """) + +## Indentation + * Whitespace is important in Python. Actually, whitespace at the beginning of the line is important. This is called indentation. + * Leading whitespace (spaces and tabs) at the beginning of the logical line is used to determine the indentation level of the logical line, which in turn is used to determine the grouping of statements. + * This means that statements which go together must have the same indentation.Each such set of statements is called a block +eg: +``` + i = 5 + # Error below! Notice a single space at the start of the line + print('Value is', i) + print('I repeat, the value is', i) + + output: + +``` File "whitespace.py", line 3 + print('Value is', i) + ^ + IndentationError: unexpected indent +``` +## How to indent ? + * Use four spaces for indentation. This is the official Python language recommendation. Good editors will automatically do this for you.like pycharm,atom,sublime,eclipse..etc + + + +## Literal Constants + * An example of a literal constant is a number like 5, 1.23, or a string like 'This is a string' or "It's a string!" +## Numbers + * Numbers are mainly of two types - integers and floats. + * There is no separate long type. The int type can be an integer of any size. + +eg: + An example of an integer is 2 which is just a whole number. + +## Strings + * A string is a sequence of characters. Strings are basically just a bunch of words. + * You will be using strings in almost every Python program that you write, so pay attention to the following part. + *Single Quote + * You can specify strings using single quotes such as 'Quote me on this' + * All white space i.e. spaces and tabs, within the quotes, are preserved as-is + * Double Quotes + * Strings in double quotes work exactly the same way as strings in single quotes. An example is "What's your name?" + * Triple Quotes {#triple-quotes} + * You can specify multi-line strings using triple quotes(""" or ''')You can use single quotes and double quotes freely within the triple quotes. + eg: +``` + '''This is a multi-line string. This is the first line. + This is the second line. + "What's your name?," I asked. + He said "Bond, James Bond." + ''' +``` + * Strings Are Immutable + * This means that once you have created a string, you cannot change it. +## format method + * Sometimes we may want to construct strings from other information. This is where the format() method is useful. + * A string can use certain specifications and subsequently, the format method can be called to substitute those specifications with corresponding arguments to the format method. +eg: +``` + age = 20 + name = 'Danny' + print('{0} was {1} years old when he wrote this book'.format(name, age)) + print('Why is {0} playing with that python?'.format(name)) +``` +output: +``` + $ python str_format.py + Danny was 20 years old when he wrote this book + Why is Danny playing with that python? +``` +eg2: + age = 20 + name = 'Danny' + + print('{} was {} years old when he wrote this book'.format(name, age)) + print('Why is {} playing with that python?'.format(name)) + +## Escape Sequences + * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. + * you can specify the string as 'What\'s your name?' or "What's your name?" + * the newline character - \n + eg: +``` + 'This is the first line\nThis is the second line' +``` + output: +``` + "This is the first line. + This is the second line" +``` + =>the tab: \t + + eg: +``` + 'This is the first line\t\t\t\t\tThis is the second line' +``` + output: +``` + "This is the first line This is the second line" +``` +## Variable + * Container of date , we need some way of storing any information and manipulate them as well. + * Naming + * The first character of the identifier must be a letter of the alphabet (uppercase ASCII or lowercase ASCII or Unicode character) or an underscore (_). + * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) + * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter +## Data Types + * Variables can hold values of different types called data types. +## Object + * Python refers to anything used in a program as an object. +## Operators and expressions + * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. +eg: +``` + >>> 2 + 3 + 5 + >>> 23 - 3 + 20 + >>> 22.0 / 12 + 1.8333333333333333 + >>> 14 % 3(modulue operator) + 2 +``` +=>Relational Operators +< Is less than +<= Is less than or equal to +> Is greater than +>= Is greater than or equal to +== Is equal to +!= Is not equal to +eg: +``` + >>> 1 < 2 + True + >>> 3 > 34 + False + >>> 23 == 45 + False + >>> 34 != 323 + True +``` +## Logical Operators + * To do logical AND , OR we use and ,*or* keywords. x and y returns False if x is False else it returns evaluation of y. If x is True, it returns True. +eg: +``` + >>> 1 and 4 + 4 + >>> 1 or 4 + 1 + >>> -1 or 4 + -1 + >>> 0 or 4 + 4 +``` +=>Shorthand Operator + * x op= expression is the syntax for shorthand operators. It will be evaluated like x = x op expression +eg: +``` + >>> a = 12 + >>> a += 13 (equal to a = a+1) + >>> a + 25 +``` +## Expressions + * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like +eg: +``` + a = 234 * (45 - 56.0 / 34) +``` +## Conversions + * Convert from one type to another type +eg: +``` + >>> a = 5 + >>> type(a) + + >>> a = str(a) + >>> a + '5' + >>> type(a) + +``` + + + + + - * Explicitness - * First-class objects: - Definition: Can (1) pass to function; (2) return from function; (3) stuff into a data structure. - Operators can be applied to values (not variables). Example: f(x)[3] - * Indented block structure -- "Python is pseudo-code that runs." - * Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) From d991c464fdd7b29de29796d47b56a2898ec71b1f Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:40:54 +0530 Subject: [PATCH 009/105] Create Chapter-2 --- Chapter-2 | 43 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) create mode 100644 Chapter-2 diff --git a/Chapter-2 b/Chapter-2 new file mode 100644 index 0000000..d9ed95d --- /dev/null +++ b/Chapter-2 @@ -0,0 +1,43 @@ +# Lexical matters +## Lines + + * Python does what you want it to do most of the time so that you only have to add extra characters some of the time. + * Statement separator is a semi-colon, but is only needed when there is more than one statement on a line. And, writing more than one statement on the same line is considered bad form. + * Continuation lines -- A back-slash as last character of the line makes the following line a continuation of the current line. But, note that an opening "context" (parenthesis, square bracket, or curly bracket) makes the back-slash unnecessary. + +## Comments + + * Everything after "#" on a line is ignored. No block comments, but doc strings are a comment in quotes at the beginning of a module, class, method or function. Also, editors with support for Python often provide the ability to comment out selected blocks of code, usually with "##". +## Names and tokens + + * Allowed characters: a-z A-Z 0-9 underscore, and must begin with a letter or underscore. + * Names and identifiers are case sensitive. + * Identifiers can be of unlimited length. + * Special names, customizing, etc. -- Usually begin and end in double underscores. + * Special name classes -- Single and double underscores. + * Single leading single underscore -- Suggests a "private" method or variable name. Not imported by "from module import *". + * Single trailing underscore -- Use it to avoid conflicts with Python keywords. + * Double leading underscores -- Used in a class definition to cause name mangling (weak hiding). But, not often used. + * Naming conventions -- Not rigid, but: + * Modules and packages -- all lower case. + * Globals and constants -- Upper case. + * Classes -- Bumpy caps with initial upper. + * Methods and functions -- All lower case with words separated by underscores. + * Local variables -- Lower case (with underscore between words) or bumpy caps with initial lower or your choice. + * Good advice -- Follow the conventions used in the code on which you are working. + * Names/variables in Python do not have a type. Values have types. + +## Blocks and indentation + + * Python represents block structure and nested block structure with indentation, not with begin and end brackets. + + * The empty block -- Use the pass no-op statement. + +## Benefits of the use of indentation to indicate structure: + + * Reduces the need for a coding standard. Only need to specify that indentation is 4 spaces and no hard tabs. + * Reduces inconsistency. Code from different sources follow the same indentation style. It has to. + * Reduces work. Only need to get the indentation correct, not both indentation and brackets. + * Reduces clutter. Eliminates all the curly brackets. + * If it looks correct, it is correct. Indentation cannot fool the reader. + From 97773bef87d5af55f57c82d41b4afcaed33daba7 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:42:13 +0530 Subject: [PATCH 010/105] Create chap-2.md --- chap-2.md | 43 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) create mode 100644 chap-2.md diff --git a/chap-2.md b/chap-2.md new file mode 100644 index 0000000..d9ed95d --- /dev/null +++ b/chap-2.md @@ -0,0 +1,43 @@ +# Lexical matters +## Lines + + * Python does what you want it to do most of the time so that you only have to add extra characters some of the time. + * Statement separator is a semi-colon, but is only needed when there is more than one statement on a line. And, writing more than one statement on the same line is considered bad form. + * Continuation lines -- A back-slash as last character of the line makes the following line a continuation of the current line. But, note that an opening "context" (parenthesis, square bracket, or curly bracket) makes the back-slash unnecessary. + +## Comments + + * Everything after "#" on a line is ignored. No block comments, but doc strings are a comment in quotes at the beginning of a module, class, method or function. Also, editors with support for Python often provide the ability to comment out selected blocks of code, usually with "##". +## Names and tokens + + * Allowed characters: a-z A-Z 0-9 underscore, and must begin with a letter or underscore. + * Names and identifiers are case sensitive. + * Identifiers can be of unlimited length. + * Special names, customizing, etc. -- Usually begin and end in double underscores. + * Special name classes -- Single and double underscores. + * Single leading single underscore -- Suggests a "private" method or variable name. Not imported by "from module import *". + * Single trailing underscore -- Use it to avoid conflicts with Python keywords. + * Double leading underscores -- Used in a class definition to cause name mangling (weak hiding). But, not often used. + * Naming conventions -- Not rigid, but: + * Modules and packages -- all lower case. + * Globals and constants -- Upper case. + * Classes -- Bumpy caps with initial upper. + * Methods and functions -- All lower case with words separated by underscores. + * Local variables -- Lower case (with underscore between words) or bumpy caps with initial lower or your choice. + * Good advice -- Follow the conventions used in the code on which you are working. + * Names/variables in Python do not have a type. Values have types. + +## Blocks and indentation + + * Python represents block structure and nested block structure with indentation, not with begin and end brackets. + + * The empty block -- Use the pass no-op statement. + +## Benefits of the use of indentation to indicate structure: + + * Reduces the need for a coding standard. Only need to specify that indentation is 4 spaces and no hard tabs. + * Reduces inconsistency. Code from different sources follow the same indentation style. It has to. + * Reduces work. Only need to get the indentation correct, not both indentation and brackets. + * Reduces clutter. Eliminates all the curly brackets. + * If it looks correct, it is correct. Indentation cannot fool the reader. + From 23c273dfba1ed89a236f9e349dd779409a7e7294 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:42:30 +0530 Subject: [PATCH 011/105] Delete Chapter-2 --- Chapter-2 | 43 ------------------------------------------- 1 file changed, 43 deletions(-) delete mode 100644 Chapter-2 diff --git a/Chapter-2 b/Chapter-2 deleted file mode 100644 index d9ed95d..0000000 --- a/Chapter-2 +++ /dev/null @@ -1,43 +0,0 @@ -# Lexical matters -## Lines - - * Python does what you want it to do most of the time so that you only have to add extra characters some of the time. - * Statement separator is a semi-colon, but is only needed when there is more than one statement on a line. And, writing more than one statement on the same line is considered bad form. - * Continuation lines -- A back-slash as last character of the line makes the following line a continuation of the current line. But, note that an opening "context" (parenthesis, square bracket, or curly bracket) makes the back-slash unnecessary. - -## Comments - - * Everything after "#" on a line is ignored. No block comments, but doc strings are a comment in quotes at the beginning of a module, class, method or function. Also, editors with support for Python often provide the ability to comment out selected blocks of code, usually with "##". -## Names and tokens - - * Allowed characters: a-z A-Z 0-9 underscore, and must begin with a letter or underscore. - * Names and identifiers are case sensitive. - * Identifiers can be of unlimited length. - * Special names, customizing, etc. -- Usually begin and end in double underscores. - * Special name classes -- Single and double underscores. - * Single leading single underscore -- Suggests a "private" method or variable name. Not imported by "from module import *". - * Single trailing underscore -- Use it to avoid conflicts with Python keywords. - * Double leading underscores -- Used in a class definition to cause name mangling (weak hiding). But, not often used. - * Naming conventions -- Not rigid, but: - * Modules and packages -- all lower case. - * Globals and constants -- Upper case. - * Classes -- Bumpy caps with initial upper. - * Methods and functions -- All lower case with words separated by underscores. - * Local variables -- Lower case (with underscore between words) or bumpy caps with initial lower or your choice. - * Good advice -- Follow the conventions used in the code on which you are working. - * Names/variables in Python do not have a type. Values have types. - -## Blocks and indentation - - * Python represents block structure and nested block structure with indentation, not with begin and end brackets. - - * The empty block -- Use the pass no-op statement. - -## Benefits of the use of indentation to indicate structure: - - * Reduces the need for a coding standard. Only need to specify that indentation is 4 spaces and no hard tabs. - * Reduces inconsistency. Code from different sources follow the same indentation style. It has to. - * Reduces work. Only need to get the indentation correct, not both indentation and brackets. - * Reduces clutter. Eliminates all the curly brackets. - * If it looks correct, it is correct. Indentation cannot fool the reader. - From 6e459d998d0eec66cee25b87ceeaf32d2bf40c6c Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:43:31 +0530 Subject: [PATCH 012/105] Update chap-2.md --- chap-2.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/chap-2.md b/chap-2.md index d9ed95d..c717901 100644 --- a/chap-2.md +++ b/chap-2.md @@ -30,10 +30,9 @@ ## Blocks and indentation * Python represents block structure and nested block structure with indentation, not with begin and end brackets. - * The empty block -- Use the pass no-op statement. -## Benefits of the use of indentation to indicate structure: +### Benefits of the use of indentation to indicate structure: * Reduces the need for a coding standard. Only need to specify that indentation is 4 spaces and no hard tabs. * Reduces inconsistency. Code from different sources follow the same indentation style. It has to. From 1f7d458f841ee92a8a837d22ab9254bd15bceef9 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:45:42 +0530 Subject: [PATCH 013/105] Update index.md --- index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.md b/index.md index 56a16ed..792e75e 100644 --- a/index.md +++ b/index.md @@ -7,7 +7,7 @@ * Lines * Comments * Names and tokens - * Doc strings + * Python Data Types * Whitespaces and indentation 3. Variables * what is Variables From c55b19d27cdf44e04bc34a128d2aba747d1ad5fc Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:50:29 +0530 Subject: [PATCH 014/105] Create chap-3.md --- chap-3.md | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 chap-3.md diff --git a/chap-3.md b/chap-3.md new file mode 100644 index 0000000..f5c5b74 --- /dev/null +++ b/chap-3.md @@ -0,0 +1,21 @@ +# Data Types in Python + * Everything in Python programming is an object, and each object has its own unique identity(a type and a value). + + * There are many native(built-in) data types available in Python. + +Some important are: + + * Numbers: An are integers (such as 1, 2, 3…), floats (such as 2.6, 4.8 etc), fractions (such as ½. ¾ etc) or even complex numbers. + - int (signed integer) + - float + - long + - complex + * Sequences: + - Strings: Sequence of Unicode characters, like an HTML document. + - Bytes/Byte array: Any type of file. + - Lists: An ordered sequence of values. + - Tuples: An ordered immutable sequence of values. + + * Boolean: Holds either true or false values. + * Sets: An unordered container of values. + * Dictionaries: An key-paired values set in an unordered way. From 4141393938a18303b69cd0c6ec93877d2b3c443e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 15:51:20 +0530 Subject: [PATCH 015/105] Update chap-3.md --- chap-3.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/chap-3.md b/chap-3.md index f5c5b74..db2a38e 100644 --- a/chap-3.md +++ b/chap-3.md @@ -3,19 +3,19 @@ * There are many native(built-in) data types available in Python. -Some important are: +## Some important are: - * Numbers: An are integers (such as 1, 2, 3…), floats (such as 2.6, 4.8 etc), fractions (such as ½. ¾ etc) or even complex numbers. + * Numbers: An are integers (such as 1, 2, 3…), floats (such as 2.6, 4.8 etc), fractions (such as ½. ¾ etc) or even complex numbers. - int (signed integer) - float - long - complex - * Sequences: + * Sequences: - Strings: Sequence of Unicode characters, like an HTML document. - Bytes/Byte array: Any type of file. - Lists: An ordered sequence of values. - Tuples: An ordered immutable sequence of values. - * Boolean: Holds either true or false values. - * Sets: An unordered container of values. - * Dictionaries: An key-paired values set in an unordered way. + * Boolean: Holds either true or false values. + * Sets: An unordered container of values. + * Dictionaries: An key-paired values set in an unordered way. From e3152c0b3cc76001beed087b298936e9e2a50858 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 19:52:45 +0530 Subject: [PATCH 016/105] Update Introduction.md --- Introduction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index 10b36fa..aa73d6f 100644 --- a/Introduction.md +++ b/Introduction.md @@ -22,7 +22,7 @@ f2() } ``` - in Python would be: +in Python would be: ``` if x: if y: From 406501884ad9118725eb060ae39356f3da281b49 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 19:54:16 +0530 Subject: [PATCH 017/105] Update Introduction.md --- Introduction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index aa73d6f..9bb70b7 100644 --- a/Introduction.md +++ b/Introduction.md @@ -74,7 +74,7 @@ eg: # Note that print is a function print('hello world') ``` -### Use as many useful comments as you can in your program to: +Use as many useful comments as you can in your program to: * explain assumptions * explain important decisions * explain important details From c171edfb3f707aad4bf6c5f52cd1707c7314391e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 19:55:27 +0530 Subject: [PATCH 018/105] Update Introduction.md --- Introduction.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/Introduction.md b/Introduction.md index 9bb70b7..8713992 100644 --- a/Introduction.md +++ b/Introduction.md @@ -74,15 +74,15 @@ eg: # Note that print is a function print('hello world') ``` -Use as many useful comments as you can in your program to: - * explain assumptions - * explain important decisions - * explain important details - * explain problems you're trying to solve - * explain problems you're trying to overcome in your program, etc +## Use as many useful comments as you can in your program to: + * explain assumptions + * explain important decisions + * explain important details + * explain problems you're trying to solve + * explain problems you're trying to overcome in your program, etc ### types of comments - * single line comment use (#) - * Multiple line comments use(''' or """) +* single line comment use (#) +* Multiple line comments use(''' or """) ## Indentation * Whitespace is important in Python. Actually, whitespace at the beginning of the line is important. This is called indentation. From 699f39e04c32012e95536ee4f2ce176ace1b5912 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 19:57:40 +0530 Subject: [PATCH 019/105] Update Introduction.md --- Introduction.md | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/Introduction.md b/Introduction.md index 8713992..da9b6a1 100644 --- a/Introduction.md +++ b/Introduction.md @@ -95,9 +95,11 @@ eg: print('Value is', i) print('I repeat, the value is', i) - output: +``` +output: +``` -``` File "whitespace.py", line 3 + File "whitespace.py", line 3 print('Value is', i) ^ IndentationError: unexpected indent @@ -110,8 +112,8 @@ eg: ## Literal Constants * An example of a literal constant is a number like 5, 1.23, or a string like 'This is a string' or "It's a string!" ## Numbers - * Numbers are mainly of two types - integers and floats. - * There is no separate long type. The int type can be an integer of any size. + * Numbers are mainly of two types - integers and floats. + * There is no separate long type. The int type can be an integer of any size. eg: An example of an integer is 2 which is just a whole number. @@ -160,7 +162,7 @@ eg2: print('Why is {} playing with that python?'.format(name)) ## Escape Sequences - * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. + * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. * you can specify the string as 'What\'s your name?' or "What's your name?" * the newline character - \n eg: @@ -189,11 +191,11 @@ eg2: * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter ## Data Types - * Variables can hold values of different types called data types. + * Variables can hold values of different types called data types. ## Object - * Python refers to anything used in a program as an object. + * Python refers to anything used in a program as an object. ## Operators and expressions - * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. + * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. eg: ``` >>> 2 + 3 @@ -246,7 +248,7 @@ eg: 25 ``` ## Expressions - * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like + * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like eg: ``` a = 234 * (45 - 56.0 / 34) From a4bb2aa32f657d3ca95cc6b8ee9bdd796d033e4d Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 19 Dec 2017 20:00:29 +0530 Subject: [PATCH 020/105] Update Introduction.md --- Introduction.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/Introduction.md b/Introduction.md index da9b6a1..44c6a41 100644 --- a/Introduction.md +++ b/Introduction.md @@ -169,18 +169,18 @@ eg2: ``` 'This is the first line\nThis is the second line' ``` - output: +output: ``` "This is the first line. This is the second line" ``` - =>the tab: \t +The tab: \t - eg: +eg: ``` 'This is the first line\t\t\t\t\tThis is the second line' ``` - output: +output: ``` "This is the first line This is the second line" ``` @@ -207,6 +207,7 @@ eg: >>> 14 % 3(modulue operator) 2 ``` +``` =>Relational Operators < Is less than <= Is less than or equal to @@ -214,8 +215,6 @@ eg: >= Is greater than or equal to == Is equal to != Is not equal to -eg: -``` >>> 1 < 2 True >>> 3 > 34 From 89aa0051bb5546d91f8b13ce558f460472791256 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 09:47:07 +0530 Subject: [PATCH 021/105] Create func.md --- func.md | 149 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 149 insertions(+) create mode 100644 func.md diff --git a/func.md b/func.md new file mode 100644 index 0000000..7974b07 --- /dev/null +++ b/func.md @@ -0,0 +1,149 @@ +# Function +A function is a named sequence of statements +The `def` statement is used to define functions +It groups a block of code together so that we can call it by name. +It enables us to pass values into the the function when we call it. +It can returns a value (even if None). +When a function is called, it has its own namespace. Variables in the function are local to the function (and disappear when the function exits + +Defining a function + +We use def keyword to define a function. General syntax is like +``` +def functionname(params): + statement1 + statement2 +``` +Example-1 + +``` +def print_lyrics(): + print("I'm a lumberjack, and I'm okay.") + print('I sleep all night and I work all day.') +``` +How do you call functions in Python? +Simply write the function's name followed by (), The syntax for calling the new function + +>>> print_lyrics() +I'm a lumberjack, and I'm okay. +I sleep all night and I work all day. + +Let us write a function which will take two integers as input and then return the sum. + +Example-2 + +``` +>>> def sum(a, b): +... return a + b +``` +In the second line with the return keyword, we are sending back the value of a + b to the caller. You must call it like +``` +>>> res = sum(3, 5) +>>> res +8 +``` +Example-3 + +``` +def function_name(arg1, arg2): + local_var1 = arg1 + 1 + local_var2 = arg2 * 2 + return local_var1 + local_var2 +``` +here is an example of calling this function: +``` +result = function_name(1, 2) +``` + +Default argument value + +In a function variables may have default argument values, that means if we don’t give any value for that particular variable it will be assigned automatically. +``` +>>> def test(a , b=-99): +... if a > b: +... return True +... else: +... return False + +``` +output: + +``` +>>> test(12, 23) +False +>>> test(12) +True +``` + +Important + +Important + +Remember that you can not have an argument without default argument if you already have one argument with default values before it. Like f(a, b=90, c) is illegal as b is having a default value but after that c is not having any default value. + +Keyword arguments + +``` +>>> def func(a, b=5, c=10): +... print('a is', a, 'and b is', b, 'and c is', c) +... +>>> func(12, 24) +a is 12 and b is 24 and c is 10 +>>> func(12, c = 24) +a is 12 and b is 5 and c is 24 +>>> func(b=12, c = 24, a = -1) +a is -1 and b is 12 and c is 24 + +``` +Example-2 +``` +def sumsub(a, b, c=0, d=0): + return a - b + c - d +``` +output: +``` +>>> sumsub(12,4) +8 +>>> sumsub(12,4,27,23) +12 +>>> sumsub(12,4,d=27,c=23) +4 +``` + +Docstrings + +In Python we use docstrings to explain how to use the code, it will be useful in interactive mode and to create auto-documentation. Below we see an example of the docstring for a function called longest_side. + +``` +import math +def longest_side(a, b): + """ + Function to find the length of the longest side of a right triangle. + + :arg a: Side a of the triangle + :arg b: Side b of the triangle + + :return: Length of the longest side c as float + """ + return math.sqrt(a*a + b*b) +``` + +(Passing functions as arguments + +Higher-order function + +Higher-order function or a functor is a function which does at least one of the following step inside: + + Takes one or more functions as argument. + Returns another function as output. + +In Python any function can act as higher order function. + +>>> def high(func, value): +... return func(value) +... +>>> lst = high(dir, int) +>>> print(lst[-3:]) +['imag', 'numerator', 'real'] +>>> print(lst) + From 088c2af0e6d17787bf090dbc9e183fe75643cb16 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 15:13:17 +0530 Subject: [PATCH 022/105] Update func.md --- func.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/func.md b/func.md index 7974b07..633269c 100644 --- a/func.md +++ b/func.md @@ -138,7 +138,7 @@ Higher-order function or a functor is a function which does at least one of the Returns another function as output. In Python any function can act as higher order function. - +``` >>> def high(func, value): ... return func(value) ... @@ -146,4 +146,4 @@ In Python any function can act as higher order function. >>> print(lst[-3:]) ['imag', 'numerator', 'real'] >>> print(lst) - +``` From 914ad083886a740324a50ce68805f9ae71d3348c Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 16:38:15 +0530 Subject: [PATCH 023/105] Update func.md --- func.md | 195 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 195 insertions(+) diff --git a/func.md b/func.md index 633269c..febb649 100644 --- a/func.md +++ b/func.md @@ -147,3 +147,198 @@ In Python any function can act as higher order function. ['imag', 'numerator', 'real'] >>> print(lst) ``` + +## Local Variables + + * When you declare variables inside a function definition, they are not related in any way to other variables with the same names used outside the function - i.e. variable names are local to the function. This is called the scope of the variable. All variables have the scope of the block they are declared in starting from the point of definition of the name. + +``` + x = 50 + + +def func(x): + print('x is', x) + x = 2 + print('Changed local x to', x) + + +func(x) +print('x is still', x) +``` + +Output: + +``` +$ python function_local.py +x is 50 +Changed local x to 2 +x is still 50 +``` + +## The global statement + +``` +x = 50 + + +def func(): + global x + + print('x is', x) + x = 2 + print('Changed global x to', x) + + +func() +print('Value of x is', x) + +``` +output: +``` +$ python function_global.py +x is 50 +Changed global x to 2 +Value of x is 2 + +``` + + +## args and keyword args + + Additional positional arguments passed to a function that are not specified in the function definition (the def: statement``), are collected in an argument preceded by a single asterisk `*args` . +``` +def print_args(*args): + print(arg) +``` +output: +``` +print_args("one", "two", "three") +print_args("one", "two", "three", "four") +``` + + Keyword arguments passed to a function that are not specified in the function definition can be collected in a dictionary and passed to an argument preceded by a double asterisk.`**kwargs` +``` +def print_kwargs(**kwargs): + print("%s: %s" % (k, v)) + +``` +output: +``` +print_kwargs(name="Jane", surname="Doe") +print_kwargs(age=10) +``` + +Eg:2 + +``` +def show_args(x, y=-1, *args, **kwargs): + print '-' * 40 + print 'x:', x + print 'y:', y + print 'args:', args + print 'kwargs:', kwargs + +def test(): + show_args(1) + show_args(x=2, y=3) + show_args(y=5, x=4) + show_args(4, 5, 6, 7, 8) + show_args(11, y=44, a=55, b=66) + +test() +``` + +output: + +``` +$ python workbook006.py +---------------------------------------- +x: 1 +y: -1 +args: () +kwargs: {} +---------------------------------------- +x: 2 +y: 3 +args: () +kwargs: {} +---------------------------------------- +x: 4 +y: 5 +args: () +kwargs: {} +---------------------------------------- +x: 4 +y: 5 +args: (6, 7, 8) +kwargs: {} +---------------------------------------- +x: 11 +y: 44 +args: () +kwargs: {'a': 55, 'b': 66} +``` + + +## DocStrings + +Python has a nifty feature called documentation strings, usually referred to by its shorter name docstrings. DocStrings are an important tool that you should make use of since it helps to document the program better and makes it easier to understand. Amazingly, we can even get the docstring back from, say a function, when the program is actually running! + +``` +def print_max(x, y): + '''Prints the maximum of two numbers. + + The two values must be integers.''' + # convert to integers, if possible + x = int(x) + y = int(y) + + if x > y: + print(x, 'is maximum') + else: + print(y, 'is maximum') + +print_max(3, 5) +print(print_max.__doc__) + +``` + +## lambda + * is anonymous (does not need a name) and + * contains only an expression and no statements. + +``` +a = lambda: 3 + +# is the same as + +def a(): + return 3 +``` + +eg-2: + +``` +>>>fn = lambda x, y, z: (x ** 2) + (y * 2) + z +>>>fn(4, 5, 6) +32 + +``` + +## Iterators & Generators + +We use for statement for looping over a list. +``` +>>> for i in [1, 2, 3, 4]: +... print i, +... +1 +2 +3 +4 +``` + +If we use it with a string, it loops over its characters. +``` + +``` From de4c9e6f64c7035bde6e510b5b50315f44532dd6 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 16:40:42 +0530 Subject: [PATCH 024/105] Update func.md --- func.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/func.md b/func.md index febb649..a0f279e 100644 --- a/func.md +++ b/func.md @@ -110,9 +110,10 @@ output: 4 ``` -Docstrings +## Docstrings -In Python we use docstrings to explain how to use the code, it will be useful in interactive mode and to create auto-documentation. Below we see an example of the docstring for a function called longest_side. + * In Python we use docstrings to explain how to use the code, it will be useful in interactive mode and to create auto-documentation. + * Below we see an example of the docstring for a function called longest_side. ``` import math From 752dc18f5d76c65ad83cbb89a5a4d799032d018b Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 16:54:23 +0530 Subject: [PATCH 025/105] Update func.md --- func.md | 95 ++++++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 87 insertions(+), 8 deletions(-) diff --git a/func.md b/func.md index a0f279e..167a18f 100644 --- a/func.md +++ b/func.md @@ -148,10 +148,10 @@ In Python any function can act as higher order function. ['imag', 'numerator', 'real'] >>> print(lst) ``` - ## Local Variables - * When you declare variables inside a function definition, they are not related in any way to other variables with the same names used outside the function - i.e. variable names are local to the function. This is called the scope of the variable. All variables have the scope of the block they are declared in starting from the point of definition of the name. + * When you declare variables inside a function definition, they are not related in any way to other variables with the same names used outside the function - i.e. variable names are local to the function. + * This is called the scope of the variable. All variables have the scope of the block they are declared in starting from the point of definition of the name. ``` x = 50 @@ -328,18 +328,97 @@ eg-2: ## Iterators & Generators -We use for statement for looping over a list. + +iterator + And iterator is something that satisfies the iterator protocol. Clue: If it's an iterator, you can use it in a for: statement. +The Iteration Protocol + + +generator + A generator is a class or function that implements an iterator, i.e. that implements the iterator protocol. +the iterator protocol + + An object satisfies the iterator protocol if it does the following: + + It implements a `__iter__` method, which returns an iterator object. + It implements a next function, which returns the next item from the collection, sequence, stream, etc of items to be iterated over + It raises the StopIteration exception when the items are exhausted and the `next()` method is called. + +The built-in function iter takes an iterable object and returns an iterator. ``` ->>> for i in [1, 2, 3, 4]: -... print i, -... +>>> x = iter([1, 2, 3]) +>>> x + +>>> x.next() 1 +>>> x.next() 2 +>>> x.next() 3 -4 +>>> x.next() +Traceback (most recent call last): + File "", line 1, in +StopIteration ``` -If we use it with a string, it loops over its characters. +yield + The yield statement enables us to write functions that are generators. Such functions may be similar to coroutines, since they may "yield" multiple times and are resumed. + +Generators simplifies creation of iterators. A generator is a function that produces a sequence of results instead of a single value. + +def yrange(n): + i = 0 + while i < n: + yield i + i += 1 + +Each time the yield statement is executed the function generates a new value. ``` +>>> y = yrange(3) +>>> y + +>>> y.next() +0 +>>> y.next() +1 +>>> y.next() +2 +>>> y.next() +Traceback (most recent call last): + File "", line 1, in +StopIteration +``` +Eg-2: ``` +>>> def foo(): +... print "begin" +... for i in range(3): +... print "before yield", i +... yield i +... print "after yield", i +... print "end" +... +>>> f = foo() +>>> f.next() +begin +before yield 0 +0 +>>> f.next() +after yield 0 +before yield 1 +1 +>>> f.next() +after yield 1 +before yield 2 +2 +>>> f.next() +after yield 2 +end +Traceback (most recent call last): + File "", line 1, in +StopIteration +>>> +``` + + From 9f33ccc04b7d34797666057e5ad728d3ef79048e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:24:52 +0530 Subject: [PATCH 026/105] Create Condition.md --- Condition.md | 114 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 114 insertions(+) create mode 100644 Condition.md diff --git a/Condition.md b/Condition.md new file mode 100644 index 0000000..5bc9be7 --- /dev/null +++ b/Condition.md @@ -0,0 +1,114 @@ +# Conditional execution + +## Boolean expressions + + * A boolean expression is an expression that is either true or false. + +``` +>>>5 == 5 +True +>>>5 == 6 +False +``` +True and False are special values that belong to the class bool ; they are not strings: +``` +>>> type(True) + +>>> type(False) +< class 'bool'> +``` + +The == operator is one of the comparison operators ; the others are: + +``` + x != y # x is not equal to y + x > y # x is greater than y + x < y # x is less than y + x >= y # x is greater than or equal to y + x <= y # x is less than or equal to y + x is y # x is the same as y + x is not y # x is not the same as y + +``` + +Logical operators: + +``` +and or is not in + +``` + + +eg: + +x > 0 and x < 10 + +is true only if x is greater than 0 and less than 10 + +>>> 17 and True +True + +## If statement +The if statement is a compound statement that enables us to conditionally execute blocks of code. + +The syntax looks like +``` +if expression: + do this + +``` + +``` +if x > 0: + print('x is positive') +``` + +The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. + +diagram-1 + + + + +Alternative execution(IF-ELSE) + +A second form of the if statement is alternative execution , in which there are two possibilities and the condition determines which one gets executed. +The syntax looks like this: +``` +if x% 2 ==0 : + print('x is even') +else: + print('x is odd') +``` + + +diagram-2 + +## Chained Condition(IF-ELIF-ELSE) + +Sometimes there are more than two possibilities and we need more than two branches. One way to express a computation like that is a +chained conditional : + +if x < y: + print('x is less than y') +elif x > y: + print('x is greater than y') +else: + print('x and y are equal') + +diagram-3 + +Nested conditionals + +One conditional can also be nested within another. We could have written the three-branch example like this: + +if x == y: + print('x and y are equal') +else: + if x < y: + print('x is less than y') + else: + print('x is greater than y') + +diagram-4 + From 6a41663d1c8514e2d61cdea573fa73ad7cb3803f Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:26:12 +0530 Subject: [PATCH 027/105] Update Condition.md --- Condition.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Condition.md b/Condition.md index 5bc9be7..35818d9 100644 --- a/Condition.md +++ b/Condition.md @@ -38,7 +38,7 @@ and or is not in ``` - +``` eg: x > 0 and x < 10 @@ -47,7 +47,7 @@ is true only if x is greater than 0 and less than 10 >>> 17 and True True - +``` ## If statement The if statement is a compound statement that enables us to conditionally execute blocks of code. @@ -98,10 +98,10 @@ else: diagram-3 -Nested conditionals +## Nested conditionals One conditional can also be nested within another. We could have written the three-branch example like this: - +``` if x == y: print('x and y are equal') else: @@ -109,6 +109,6 @@ else: print('x is less than y') else: print('x is greater than y') - +``` diagram-4 From 780779f63474ccadd609c355b5c4138680207927 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:26:43 +0530 Subject: [PATCH 028/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index 35818d9..ef85c62 100644 --- a/Condition.md +++ b/Condition.md @@ -70,7 +70,7 @@ diagram-1 -Alternative execution(IF-ELSE) +## Alternative execution(IF-ELSE) A second form of the if statement is alternative execution , in which there are two possibilities and the condition determines which one gets executed. 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z=>|1q;eD^pA^CZE3C`6hTYt-?K_0-3Bf>TIj5JPe=`FzpxtDLi>Kyv3gZHd!*6(V-7Ai21WCtEyD6 z5P1h+@a$rK;Q2xevU%-Sz&F97_#{edOu33e<<(A>iwaK;Kkwam>2Hco$PO`nH^`|( zi(^V;m2@J5Vry#)I?tbtiHV+$G_QXDrfs7tLZ zD?>#JvEj;a0!ZRzW?z0-38+*6bM?=v>wgw}|9$H3y6}JA_4lbi)#Iq)^#3Rm{~w;p zz{Af%KqyJ2L}6oNgYH5m$0)$;F^j8fYg^YZd{%(ZYwxp}U#FAeYcn&+fkmD0!|?Vx zk|FOYZVxZ0<3>>O@2zDO+0gLx^aS+^k)Rp?;mzpgiPG=iu%yR-e!Viyh>D7GeGJlE zpgZ8Yw9X*aD*TUuOc$~I#}oJAxqlxpO(iAtSC%hc;5*^KhmB|YB>es(5Lyv@@~W$= z*Xpe&x4VI!vDEB5R12!kSnX?d>hcREKuZr_ZVIMZ60#e#_?}uxV6kuDpC2r^@8)`g zGN{XdE*;h|dNzdxl1 Qcx4|5#==&1`@bi$Ix(PdYU@wn{+TOLA2v)M{7evisgbF z?Q4EkKj>3BG{KA~8I9;AMyv$Mk1fdK!z~v;`K;?2Wt5qsBKnXkzs2se5Fq)767zD2rQvm(OFzsSqp zzxM%k4I;wA)QQ8eog|7OtNMo_5)xRTTHjDxJDeZ!B~z$9(}vp=FZh{G7TdwgI#$O@ zf`LSnh{9e2FKpU+7~a?8x~%zTn>Jb;;bn9$@BmN_3fv3+i2}Tc<6pie_+OlY&-!0q zGW^r8DZ5S2NHb(0lg&VF&xa?Z!ActugD)3eYy>3=Y5HUdmXExV17@IZ8dvOvhDP5h zBnt(h Date: Wed, 20 Dec 2017 17:35:00 +0530 Subject: [PATCH 030/105] Update Condition.md --- Condition.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/Condition.md b/Condition.md index ef85c62..1e072d5 100644 --- a/Condition.md +++ b/Condition.md @@ -65,8 +65,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. -diagram-1 - +![If statement](./Screenshot from 2017-12-20 17:12:12.png) From 78432536d6a05dfebd5af111d25e7609f4210f99 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:37:23 +0530 Subject: [PATCH 031/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index 1e072d5..fa1f3d5 100644 --- a/Condition.md +++ b/Condition.md @@ -66,7 +66,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. ![If statement](./Screenshot from 2017-12-20 17:12:12.png) - +![Screenshot](diagram-2.png) ## Alternative execution(IF-ELSE) From ae493e9d9e3a35b7affdb7be232e3cbec7445c32 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:37:57 +0530 Subject: [PATCH 032/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index fa1f3d5..d8dfd92 100644 --- a/Condition.md +++ b/Condition.md @@ -65,7 +65,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. -![If statement](./Screenshot from 2017-12-20 17:12:12.png) +![If statement](Screenshot from 2017-12-20 17:12:12.png) ![Screenshot](diagram-2.png) From d7e1995ece144ac75e7f7f1b467248255b01d406 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:39:14 +0530 Subject: [PATCH 033/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index d8dfd92..227d8ba 100644 --- a/Condition.md +++ b/Condition.md @@ -65,7 +65,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. -![If statement](Screenshot from 2017-12-20 17:12:12.png) +![Screenshot](Screenshot from 2017-12-20 17:12:12.png) ![Screenshot](diagram-2.png) From e5438e6e6ea99b1a6fc64fb6c48bbe59adeee9ce Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 17:40:02 +0530 Subject: [PATCH 034/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index 227d8ba..c050c9a 100644 --- a/Condition.md +++ b/Condition.md @@ -65,7 +65,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. -![Screenshot](Screenshot from 2017-12-20 17:12:12.png) +![If-condition](diagram-3.png) ![Screenshot](diagram-2.png) From 1cf2f6733e0e4b3afd9b10c638a227619796fe70 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 18:04:09 +0530 Subject: [PATCH 035/105] Create Iteration.md --- Iteration.md | 146 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 146 insertions(+) create mode 100644 Iteration.md diff --git a/Iteration.md b/Iteration.md new file mode 100644 index 0000000..7d589c2 --- /dev/null +++ b/Iteration.md @@ -0,0 +1,146 @@ +##For + +Iterate over a sequence or an "iterable" object. + * Sequences and containers are iterable. Examples: tuples, lists, strings, dictionaries. + +syntax: + +``` +for variable in sequence: + Statement1 + Statement2 + ... + +``` + +``` +>>> a = ['Fedora', 'is', 'powerful'] +>>> for x in a: +... print(x) +... +Fedora +is +powerful +``` + +``` +>>> a = [1, 2, 3, 4, 5] +>>> for x in a: +... print(x) +1 +2 +3 +4 +5 +``` + + +##While loop + +The while statement allows you to repeatedly execute a block of statements as long as a condition is true. + +The syntax for while statement is like + +``` +while condition: + statement1 + statement2 +``` + +eg: + +``` +>>> n = 0 +>>> while n < 11: +... print(n) +... n += 1 +... +0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +```` + + +Loop Control Statements + +Break statement + +It is used to exit a while loop or a for loop. It terminates the looping & transfers execution to the statement next to the loop. + +``` +#!/usr/bin/python + +count = 0 + +while count <= 100: print (count) count += 1 if count >= 3 : + break +``` + +output: + +``` +0 +1 +2 +``` + +Continue statement +It causes the looping to skip the rest part of its body & start re-testing its condition. + +``` +#!/usr/bin/python + +for x in range(10): + #check whether x is even + if x % 2 == 0: + continue + print x + +``` + +output: +``` +1 +3 +5 +7 +9 +``` + +Pass Statement + +It is used in Python to when a statement is required syntactically and the programmer does not want to execute any code block or command. + +``` +for letter in 'TutorialsCloud': + if letter == 'C': + pass + print 'Pass block' + print 'Current letter is:', letter +``` +Output: +``` +Current letter is : T +Current letter is : u +Current letter is : t +Current letter is : o +Current letter is : r +Current letter is : i +Current letter is : a +Current letter is : l +Current letter is : s +Pass block +Current letter is : C +Current letter is : l +Current letter is : o +Current letter is : u +Current letter is : d +``` From afdc158315dedeb77b1a868627db4441eda1aec2 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 18:09:57 +0530 Subject: [PATCH 036/105] Update Iteration.md --- Iteration.md | 51 ++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 50 insertions(+), 1 deletion(-) diff --git a/Iteration.md b/Iteration.md index 7d589c2..76b4fac 100644 --- a/Iteration.md +++ b/Iteration.md @@ -1,4 +1,6 @@ -##For +# Iteration + +## For Iterate over a sequence or an "iterable" object. * Sequences and containers are iterable. Examples: tuples, lists, strings, dictionaries. @@ -34,6 +36,53 @@ powerful 5 ``` +``` +>>> languages = ["C", "C++", "Perl", "Python"] +>>> for x in languages: +... print x +... +C +C++ +Perl +Python +>>> +``` + +## The range() Function + +The built-in function range() is the right function to iterate over a sequence of numbers + +range(n) + +``` +>>> range(10) +[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +``` + +range(begin,end) + +``` +>>> range(1,5) +[1, 2, 3, 4] + +``` + +range(begin,end, step) +``` +>>> range(4,50,5) +[4, 9, 14, 19, 24, 29, 34, 39, 44, 49] +``` + +eg-2: + +``` +n = 101 +sum = 0 +for i in range(1,n): + sum = sum + i +print sum +``` + ##While loop From 16ef5428d04944ceb0ad2d7883c0e916b7bd58b2 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 20 Dec 2017 22:25:56 +0530 Subject: [PATCH 037/105] Create Collections.md --- Collections.md | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 Collections.md diff --git a/Collections.md b/Collections.md new file mode 100644 index 0000000..58adacf --- /dev/null +++ b/Collections.md @@ -0,0 +1,29 @@ +# Collections + +Lists are a container data type that acts as a dynamic array. +The Python list type is called list. It is a type of sequence – we can use it to store multiple values, and access them sequentially, by their position, or index, in the list. We define a list literal by putting a comma-separated list of values inside square brackets ([ and ]): + +A list has a (current) length -- Get the length of a list with len(mylist). +A list has an order -- The items in a list are ordered, and you can think of that order as going from left to right. +A list is heterogeneous -- You can insert different types of objects into the same list. +Lists are mutable, + +``` +# a list of strings +animals = ['cat', 'dog', 'fish', 'bison'] + +# a list of integers +numbers = [1, 7, 34, 20, 12] + +# an empty list +my_list = [] + +# a list of variables we defined somewhere else +things = [ + one_variable, + another_variable, + third_variable, # this trailing comma is legal in Python +] + +``` + From abefcffa47dd38b7ef218db9ab9c397dd7583512 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 00:06:39 +0530 Subject: [PATCH 038/105] Update Collections.md --- Collections.md | 240 ++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 239 insertions(+), 1 deletion(-) diff --git a/Collections.md b/Collections.md index 58adacf..a31eb80 100644 --- a/Collections.md +++ b/Collections.md @@ -23,7 +23,245 @@ things = [ one_variable, another_variable, third_variable, # this trailing comma is legal in Python -] + + + + +]Contents + +Lists +Quick example +Difference between append() and extend() +Other list methods +Operators +Slicing +List comprehension +Filtering Lists +Lists as Stacks +Lists as Queues +How to copy a list +In python, lists are part of the standard language. You will find them everywhere. Like almost everything in Python, lists are objects. There are many methods associated to them. Some of which are presented here below. + +4.1.1. Quick example +>>> l = [1, 2, 3] +>>> l[0] +1 +>>> l.append(1) +>>> l +[1, 2, 3, 1] +4.1.2. Difference between append() and extend() +Lists have several methods amongst which the append() and extend() methods. The former appends an object to the end of the list (e.g., another list) while the later appends each element of the iterable object (e.g., anothee list) to the end of the list. + +For example, we can append an object (here the character ‘c’) to the end of a simple list as follows: + +>>> stack = ['a','b'] +>>> stack.append('c') +>>> stack +['a', 'b', 'c'] +However, if we want to append several objects contained in a list, the result as expected (or not...) is: + +>>> stack.append(['d', 'e', 'f']) +>>> stack +['a', 'b', 'c', ['d', 'e', 'f']] +The object ['d', 'e', 'f'] has been appended to the exiistng list. However, it happens that sometimes what we want is to append the elements one by one of a given list rather the list itself. You can do that manually of course, but a better solution is to use the extend() method as follows: + +>>> stack = ['a', 'b', 'c'] +>>> stack.extend(['d', 'e','f']) +>>> stack +['a', 'b', 'c', 'd', 'e', 'f'] +4.1.3. Other list methods +4.1.3.1. index +The index() methods searches for an element in a list. For instance: + +>>> my_list = ['a','b','c','b', 'a'] +>>> my_list.index('b') +1 +It returns the index of the first and only occurence of ‘b’. If you want to specify a range of valid index, you can indicate the start and stop indices: + +>>> my_list = ['a','b','c','b', 'a'] +>>> my_list.index('b', 2) +3 +Warning + +if the element is not found, an error is raised + +4.1.3.2. insert +You can remove element but also insert element wherever you want in a list: + +>>> my_list.insert(2, 'a') +>>> my_list +['b', 'c', 'a', 'b'] +The insert() methods insert an object before the index provided. + +4.1.3.3. remove +Similarly, you can remove the first occurence of an element as follows: + +>>> my_list.remove('a') +>>> my_list +['b', 'c', 'b', 'a'] +4.1.3.4. pop +Or remove the last element of a list by using: + +>>> my_list.pop() +'a' +>>> my_list +['b', 'c', 'b'] +which also returns the value that has been removed. + +4.1.3.5. count +You can count the number of element of a kind: + +>>> my_list.count('b') +2 +4.1.3.6. sort +There is a sort() method that performs an in-place sorting: + +>>> my_list.sort() +>>> my_list +['a', 'b', 'b', 'c'] +Here, it is quite simple since the elements are all characters. For standard types, the sorting works well. Imagine now that you have some non-standard types. You can overwrite the function used to perform the comparison as the first argument of the sort() method. + +There is also the possiblity to sort in the reverse order: + +>>> my_list.sort(reverse=True) +>>> my_list +['c', 'b', 'b', 'a'] +4.1.3.7. reverse +Finally, you can reverse the element in-place: + +>>> my_list = ['a', 'c' ,'b'] +>>> my_list.reverse() +>>> my_list +['b', 'c', 'a'] +4.1.4. Operators +The + operator can be used to extend a list: + +>>> my_list = [1] +>>> my_list += [2] +>>> my_list +[1, 2] +>>> my_list += [3, 4] +>>> my_list +[1, 2, 3, 4] +The * operator ease the creation of list with similar values + +>>> my_list = [1, 2] +>>> my_list = my_list * 2 +>>> my_list +[1, 2, 1, 2] +4.1.5. Slicing +Slicing uses the symbol : to access to part of a list: + +>>> list[first index:last index:step] +>>> list[:] +>>> a = [0, 1, 2, 3, 4, 5] +[0, 1, 2, 3, 4, 5] +>>> a[2:] +[2, 3, 4, 5] +>>> a[:2] +[0, 1] +>>> a[2:-1] +[2, 3, 4] +By default the first index is 0, the last index is the last one..., and the step is 1. The step is optional. So the following slicing are equivalent: + +>>> a = [1, 2, 3, 4, 5, 6, 7, 8] +>>> a[:] +[1, 2, 3, 4, 5, 6, 7, 8] +>>> a[::1] +[1, 2, 3, 4, 5, 6, 7, 8] +>>> a[0::1] +[1, 2, 3, 4, 5, 6, 7, 8] +4.1.6. List comprehension +Traditionally, a piece of code that loops over a sequence could be written as follows: + +>>> evens = [] +>>> for i in range(10): +... if i % 2 == 0: +... evens.append(i) +>>> evens +[0, 2, 4, 6, 8] +This may work, but it actually makes things slower for Python because the interpreter works on each loop to determine what part of the sequence has to be changed. + +A list comprehension is the correct answer: + +>>> [i for i in range(10) if i % 2 == 0] +[0, 2, 4, 6, 8] +Besides the fact that it is more efficient, it is also shorter and involves fewer elements. + +4.1.7. Filtering Lists +>>> li = [1, 2] +>>> [elem*2 for elem in li if elem>1] +[4] +4.1.8. Lists as Stacks +The Python documentation gives an example of how to use lists as stacks, that is a last-in, first-out data structures (LIFO). + +An item can be added to a list by using the append() method. The last item can be removed from the list by using the pop() method without passing any index to it. + +>>> stack = ['a','b','c','d'] +>>> stack.append('e') +>>> stack.append('f') +>>> stack +['a', 'b', 'c', 'd', 'e', 'f'] +>>> stack.pop() +'f' +>>> stack +['a, 'b', 'c', 'd', 'e'] +4.1.9. Lists as Queues +Another usage of list, again presented in Python documentation is to use lists as queues, that is a first in - first out (FIFO). + +>>> queue = ['a', 'b', 'c', 'd'] +>>> queue.append('e') +>>> queue.append('f') +>>> queue +['a', 'b', 'c', 'd', 'e', 'f'] +>>> queue.pop(0) +'a' +4.1.10. How to copy a list +There are three ways to copy a list: + +>>> l2 = list(l) +>>> l2 = l[:] +>>> import copy +>>> l2 = copy.copy(l) +Warning + +Don’t do l2 = l, which is a reference, not a copy. + +The preceding techniques for copying a list create shallow copies. IT means that nested objects will not be copied. Consider this example: + +>>> a = [1, 2, [3, 4]] +>>> b = a[:] +>>> a[2][0] = 10 +>>> a +[1, 2, [10, 4]] +>>> b +[1, 2, [10, 4]] +To get around this problem, you must perform a deep copy: + +>>> import copy +>>> a = [1, 2, [3, 4]] +>>> b = copy.deepcopy(a) +>>> a[2][0] = 10 +>>> a +[1, 2, [10, 4]] +>>> b +[1, 2, [3, 4]] +4.1.10.1. Inserting items into a sorted list +The bisect module provides tools to manipulate sorted lists. + +>>> x = [4, 1] +>>> x.sort() +>>> import bisect +>>> bisect.insort(x, 2) +>>> x +[1, 2, 4] +To know where the index where the value would have been inserted, you could have use: + +>>> x = [4, 1] +>>> x.sort() +>>> import bisect +>>> bisect.bisect(x, 2) +2 ``` From b3f72f1e5db71efdcd49cf183cf995802a929369 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 00:15:58 +0530 Subject: [PATCH 039/105] Update Collections.md --- Collections.md | 425 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 425 insertions(+) diff --git a/Collections.md b/Collections.md index a31eb80..5856213 100644 --- a/Collections.md +++ b/Collections.md @@ -264,4 +264,429 @@ To know where the index where the value would have been inserted, you could have 2 ``` +Contents + +Tuples +Constructing tuples +Tuple methods +Interests of tuples +Misc +In Python, tuples are part of the standard language. This is a data structure very similar to the list data structure. The main difference being that tuple manipulation are faster than list because tuples are immutable. + +4.2.1. Constructing tuples +To create a tuple, place values within brackets: + +>>> l = (1, 2, 3) +>>> l[0] +1 +It is also possible to create a tuple without parentheses, by using commas: + +>>> l = 1, 2 +>>> l +(1, 2) +If you want to create a tuple with a single element, you must use the comma: + +>>> singleton = (1, ) +You can repeat a tuples by multiplying a tuple by a number: + +>>> (1,) * 5 +(1, 1, 1, 1, 1) +Note that you can concatenate tuples and use augmented assignement (*=, +=): + +>>> s1 = (1,0) +>>> s1 += (1,) +>>> s1 +(1, 0, 1) +4.2.2. Tuple methods +Tuples are optimised, which makes them very simple objects. There are two methods available only: + +index, to find occurence of a value +count, to count the number of occurence of a value +>>> l = (1,2,3,1) +>>> l.count(1) +2 +>>> l.index(2) +1 +4.2.3. Interests of tuples +So, Tuples are useful because there are + +faster than lists +protect the data, which is immutable +tuples can be used as keys on dictionaries +In addition, it can be used in different useful ways: + +4.2.3.1. Tuples as key/value pairs to build dictionaries +>>> d = dict([('jan', 1), ('feb', 2), ('march', 3)]) +>>> d['feb'] +2 +4.2.3.2. signing multiple values +>>> (x,y,z) = ('a','b','c') +>>> x +'a' +>>> (x,y,z) = range(3) +>>> x +0 +4.2.3.3. Tuple Unpacking +Tuple unpacking allows to extract tuple elements automatically is the list of variables on the left has the same number of elements as the length of the tuple + +>>> data = (1,2,3) +>>> x, y, z = data +>>> x +1 +4.2.3.4. Tuple can be use as swap function +This code reverses the contents of 2 variables x and y: + +>>> (x,y) = (y,x) +Warning + +Consider the following function: + +def swap(a, b): + (b, a) = (a, b) +then: + +a = 2 +b = 3 +swap(a, b) +#a is still 2 and b still 3 !! a and b are indeed passed by value not reference. +4.2.4. Misc +4.2.4.1. length +To find the length of a tuple, you can use the len() function: + +>>> t= (1,2) +>>> len(t) +2 +4.2.4.2. Slicing (extracting a segment) +>>> t = (1,2,3,4,5) +>>> t[2:] +(3, 4, 5) +4.2.4.3. Copy a tuple +To copy a tuple, just use the assignement: + +>>> t = (1, 2, 3, 4, 5) +>>> newt = t +>>> t[0] = 5 +>>> newt +(1, 2, 3, 4, 5) +Warning + +You cannot copy a list with the = sign because lists are mutables. The = sign creates a reference not a copy. Tuples are immutable therefore a = sign does not create a reference but a copy as expected. + +4.2.4.4. Tuple are not fully immutable !! +If a value within a tuple is mutable, then you can change it: + +>>> t = (1, 2, [3, 10]) +>>> t[2][0] = 9 +>>> t +(1, 2, [9, 10]) +4.2.4.5. Convert a tuple to a string +You can convert a tuple to a string with either: + +>>> str(t) +or + +>>> `t` +4.2.4.6. math and comparison +comparison operators and mathematical functions can be used on tuples. Here are some examples: + +>>> t = (1, 2, 3) +>>> max(t) +3 + +.3. Dicts¶ +Contents + +Dicts +Quick example +Methods to query information +Methods to create new dictionary +iterators +Views +comparison +4.3.1. Quick example +A dictionary is a sequence of items. Each item is a pair made of a key and a value. Dictionaries are not sorted. You can access to the list of keys or values independently. + +>>> d = {'first':'string value', 'second':[1,2]} +>>> d.keys() +['first', 'second'] +>>> d.values() +['string value', [1, 2]] +You can access to the value of a given key as follows: + +>>> d['first'] +'string value' +Warning + +You can not have duplicate keys in a dictionary + +Warning + +dictionary have no concept of order among elements + +4.3.2. Methods to query information +In addition to keys and values methods, there is also the items method that returns a list of items of the form (key, value). The items are not returned in any particular order: + +>>> d = {'first':'string value', 'second':[1,2]} +>>> d.items() +[('a', 'string value'), ('b', [1, 2])] +The iteritems method works in much the same way, but returns an iterator instead of a list. See iterators section for an example. + +You can check for the existence of a specific key with has_key: + +>>> d.has_key('first') +True +The expression d.has_key(k) is equivalent to k in d. The choice of which to use is largely a matter of taste. + +In order to get the value corresponding to a specific key, use get or pop: + +>>> d.get('first') # this method can set an optional value, if the key is not found +'string value' +It is useful for things like adding up numbers: + +sum[value] = sum.get(value, 0) + 1 +See also + +setdefault, collections + +The difference between get and pop is that pop also removes the corresponding item from the dictionary: + +>>> d.pop('first') +'string value' +>>> d +{'second': [1, 2]} +Finally, popitem removes and returns a pair (key, value); you do not choose which one because a dictionary is not sorted + +>>> d.popitem() +('a', 'string value') +>>> d +{'second': [1, 2]} +4.3.3. Methods to create new dictionary +Since dictionaries (like other sequences) are objects, you should be careful when using the affectation sign: + +>>> d1 = {'a': [1,2]} +>>> d2 = d1 +>>> d2['a'] = [1,2,3,4] +>>> d1['a] +[1,2,3,4] +To create a new object, use the copy method (shallow copy): + +>>> d2 = d1.copy() +See also + +copy.deepcopy() + +You can clear a dictionary (i.e., remove all its items) using the clear() method: + +>>> d2.clear() +{} +The clear() method deletes all items whereas del() deletes just one: + +>>> d = {'a':1, 'b':2, 'c':3} +>>> del d['a'] +>>> d.clear() +Create a new item with default value (if not provided, None is the default): + +>>> d2.setdefault('third', '') +>>> d2['third'] +'' +Create a dictionary given a set of keys: + +>>> d2.fromkeys(['first', 'second']) +another syntax is to start from an empty dictionary: + +>>> {}.fromkeys(['first', 'second']) +{'first': None, 'second': None} +Just keep in ,ind thqt the fromkeys() method creates a new dictionary with the given keys, each with a default corresponding value of None. + +4.3.3.1. Combining dictionaries +Given 2 dictionaries d1 and d2, you can add all pairs of key/value from d2 into d1 by using the update method (instead of looping and assigning each pair yourself: + +>>> d1 = {'a':1} +>>> d2 = {'a':2; 'b':2} +>>> d1.update(d2) +>>> d1['a'] +2 +>>> d2['b'] +2 +The items in the supplied dictionary are added to the old one, overwriting any items there with the same keys. + +4.3.4. iterators +Dictionary provides iterators over values, keys or items: + +>>> [x for x in t.itervalues()] +['string value', [1, 2]] +>>> +>>> [x for x in t.iterkeys()] +['first', 'csecond'] +>>> [x for x in t.iteritems()] +[('a', 'string value'), ('b', [1, 2])] +See also + +Iterators + +4.3.5. Views +viewkeys, viewvalues, viewitems are set-like objects providing a view on D’s keys, values or items. + +4.3.6. comparison +you can compare dictionaries! Python first compares the sorted key-value pairs. It first sorts dictionaries by key and comapre their initial items. If the items hae different values, Python figures out the comparison between them. Otherwise, the second items are compared and so on. + + +Contents + +Sets +Quick example +Ordering +Operators +Sets are constructed from a sequence (or some other iterable object). Since sets cannot have duplicated, there are usually used to build sequence of unique items (e.g., set of identifiers). + +4.5.1. Quick example +>>> a = set([1, 2, 3, 4]) +>>> b = set([3, 4, 5, 6]) +>>> a | b # Union +{1, 2, 3, 4, 5, 6} +>>> a & b # Intersection +{3, 4} +>>> a < b # Subset +False +>>> a - b # Difference +{1, 2} +>>> a ^ b # Symmetric Difference +{1, 2, 5, 6} +Note + +the intersection, subset, difference and symmetric difference can be be called with method rather that symbols. See below for examples. + +4.5.2. Ordering +Just as with dictionaries, the ordering of set elements is quite arbitrary, and shouldn’t be relied on. + +4.5.3. Operators +As mentionned in the quick example section, each operator is associated to a symbol (e.g., &) and a method name (e.g. union). + +>>> a = set([1, 2, 3]) +>>> b = set([2, 3, 4]) +>>> c = a.intersection(b) # equivalent to c = a & b +>>> a.intersection(b) +set([2, 3]) +>>> c.issubset(a) +True +>>> c <= a +True +>>> c.issuperset(a) +False +>>> c >= a +False +>>> a.difference(b) +set([1]) +>>> a - b +set([1]) +>>> a.symmetric_difference(b) +set([1, 4]) +>>> a ^ b +set([1, 4]) +You can also copy a set using the copy method: + +>>> a.copy() +set([1, 2, 3]) + + +.6. Frozensets +Contents + +Frozensets +Quick Example +Set of Sets +Using set as key in a dictionary +Methods +Sets are mutable, and may therefore not be used, for example, as keys in dictionaries. + +Another problem is that sets themselves may only contain immutable (hashable) values, and thus may not contain other sets. + +Because sets of sets often occur in practice, there is the frozenset type, which represents immutable (and, therefore, hashable) sets. + +4.6.1. Quick Example +>>> a = frozenset([1, 2, 3]) +>>> b = frozenset([2, 3, 4]) +>>> a.union(b) +frozenset([1, 2, 3, 4]) +4.6.2. Set of Sets +Sets may only contain immutable (hashable) values, and thus may not contain other sets, in which case frozensets can be useful. Consider the following example: + +>>> a = set([1, 2, 3]) +>>> b = set([2, 3, 4]) +>>> a.add(b) +>>> a.add(frozenset(b)) +4.6.3. Using set as key in a dictionary¶ +If you want to use a set as a key dictionary, you will need frozenset: + +>>> fa = {frozenset([1,2]): 1} +>>> fa[ frozenset([1,2]) ] +1 +4.6.4. Methods +frozensets have less methods than sets. + +There are some operators similar to sets (intersection(), union(), symmetric_difference(), difference(), issubset(), isdisjoint(), issuperset()) and a copy() method. + + +SEARCH + + Go +Enter search terms or a module, class or function name. + +This page: Show source. +TABLE OF CONTENTS +1. Quick Start / Tutorial +2. Variables, expressions, statements, types +3. Nearly everything about numbers +4. Data Structures (list, dict, tuples, sets, strings) +5. Functions +6. Print function +7. Module +8. Files +9. built-in functions +10. PYTHONPATH variable +1. Iterators +2. Generators +3. Exceptions +4. Decorators +5. Classes +6. Namespace and scoping rules +7. Packaging +8. Notes about sorting lists and dictionaries +9. Notes about booleans and logical operators +10. Notes on tricky issues in Python +11. slots +1. DATABASES in Python with dbm module +2. copy module +3. CGI module +4. getopt module +5. glob module +6. itertools +7. The os module (and sys, and path) +8. The pickle module +9. The regular expression module +10. The string module +11. The shelve module +12. shutil module +13. smtplib module +14. The md5 and sha modules +15. The temporary file module +16. The time module +17. Threading +18. Types module +19. Working with XML +20. Web Services +21. The collections module +22. The heapq module +23. Bridging other language +Changelog +TODO +Bibliography +DATABASES in Python with dbm module +readline +conditional assignements + + + + + From 6323bd38ee4f48202c4e905389c6a898c4657fee Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 16:57:06 +0530 Subject: [PATCH 040/105] Create Exception_Handling.md --- Exception_Handling.md | 151 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 Exception_Handling.md diff --git a/Exception_Handling.md b/Exception_Handling.md new file mode 100644 index 0000000..09e9103 --- /dev/null +++ b/Exception_Handling.md @@ -0,0 +1,151 @@ +# Errors and exceptions + +Errors or mistakes in a program are often referred to as bugs. They are almost always the fault of the programmer. The process of finding and eliminating errors is called debugging. Errors can be classified into three major groups: + + Syntax errors + Runtime errors + Logical errors + +Syntax errors + +Python will find these kinds of errors when it tries to parse your program, and exit with an error message without running anything. + + + leaving out a keyword + putting a keyword in the wrong place + leaving out a symbol, such as a colon, comma or brackets + misspelling a keyword + incorrect indentation + empty block + + +``` +myfunction(x, y): + return x + y + +else: + print("Hello!") + +if mark >= 50 + print("You passed!") + +if arriving: + print("Hi!") +esle: + print("Bye!") + +if flag: +print("Flag is set!") + + +``` + +Runtime errors + +If a program is syntactically correct – that is, free of syntax errors – it will be run by the Python interpreter. + +Some examples of Python runtime errors: + + division by zero + performing an operation on incompatible types + using an identifier which has not been defined + accessing a list element, dictionary value or object attribute which doesn’t exist + trying to access a file which doesn’t exist + + +Logical errors + +Logical errors are the most difficult to fix. They occur when the program runs without crashing, but produces an incorrect result. + + + using the wrong variable name + indenting a block to the wrong level + using integer division instead of floating-point division + getting operator precedence wrong + making a mistake in a boolean expression + off-by-one, and other numerical errors + + +How to handle exceptions? + +We use try...except blocks to handle any exception. The basic syntax looks like + +``` +try: + statements to be inside try clause + statement2 + statement3 + ... +except ExceptionName: + statements to evaluated in case of ExceptionName happens +``` + + +It works in the following way: + + First all lines between try and except statements. + If ExceptionName happens during execution of the statements then except clause statements execute + If no exception happens then the statements inside except clause does not execute. + If the Exception is not handled in the except block then it goes out of try block. + + + +``` +>>> def get_number(): +... "Returns a float number" +... number = float(input("Enter a float number: ")) +... return number +... +>>> +>>> while True: +... try: +... print(get_number()) +... except ValueError: +... print("You entered a wrong value.") +... +Enter a float number: 45.0 +45.0 +Enter a float number: 24,0 +You entered a wrong value. +Enter a float number: Traceback (most recent call last): + File "", line 3, in + File "", line 3, in get_number +KeyboardInterrupt +``` + +Raising exceptions + +One can raise an exception using raise statement. + +``` +>>> raise ValueError("A value error happened.") +Traceback (most recent call last): + File "", line 1, in +ValueError: A value error happened. +``` +We can catch these exceptions like any other normal exceptions. +``` +>>> try: +... raise ValueError("A value error happened.") +... except ValueError: +... print("ValueError in our code.") +... +ValueError in our code. +``` +Using finally for cleanup + +If we want to have some statements which must be executed under all circumstances, we can use finally clause, it will be always executed before finishing try statements. +``` +>>> try: +... fobj = open("hello.txt", "w") +... res = 12 / 0 +... except ZeroDivisionError: +... print("We have an error in division") +... finally: +... fobj.close() +... print("Closing the file object.") +... +We have an error in division +Closing the file object. +``` +In this example we are making sure that the file object we open, must get closed in the finally clause. From ec47cf9870b005c3b13ee45a15afb54e3df9de35 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 16:58:54 +0530 Subject: [PATCH 041/105] Create exception-sample-2.md --- exception-sample-2.md | 198 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 198 insertions(+) create mode 100644 exception-sample-2.md diff --git a/exception-sample-2.md b/exception-sample-2.md new file mode 100644 index 0000000..a324e5e --- /dev/null +++ b/exception-sample-2.md @@ -0,0 +1,198 @@ +You can raise an exception with the try/except statements, which full syntax is: + +>>> try: +>>> open("tmp/non-existing-file.tttt") +>>> except IOError: +>>> print "The file '/tmp/non-existing-file.ttt' does not exist" +>>> finally: +>>> print 'Whatever the results is we can enter here, to properly close the file for instanece.' +>>> else: +>>> print "Well, the file exists despite itscrazy name: the else clause is executed." + +Note that in general most code includes only the try/except: + +>>> try: +>>> open("tmp/non-existing-file.tttt") +>>> except IOError: +>>> print "The file 'tmp/non-existing-file.ttt' does not exist" + +or directly with the raise keyword: + +x = 0. +if x == 0: + raise ZeroDivisionError +else: + return 1./x + +3.2. Explanation + +The try/except example is quite straightforward to understand given the print statements. The only tricky part is the IOError. This is an exception, that is a predefined error in Python language. There are a bunch of them like TypeError, ZeroDivisionError and so on (see below for more details). + +The idea is that if you know that a specific error might occur, then you should use the try/except to catch this particular error. + +The more general usage of the except block is to provide an exception and its argument: + +try: + 1/0 +except Exception, e: + print(e) + +In fact e is the exception argument that you can introspect: + +e.args +e.message + +3.3. Multiple exceptions + +You can put multiple exeception in the except statement as follows: + +>>> try: +>>> x = input('Enter the first number: ') +>>> y = input('Enter the second number: ') +>>> print x/y +>>> except (ZeroDivisionError, TypeError), e: +>>> print 'Your numbers were bogus...' +>>> print e + +you may decide not to set any exception: + +>>> try: +>>> try_statements +>>> except: +>>> except_statements + +This try-except statement catches all the exceptions that occur. However, it is not considered a good programming practice, because it does not make the programmer identify the root cause of the problem that may occur. +3.4. Ignoring an exception + +You can ignore an exception by catching it: + +x = -10 +try: + import math + print math.sqrt(x) +except ValueError, e: + import cmath + print cmath.sqrt(x) + +Of course this example is simple, you can have test if the number is negative before hand but it shows how to catch an error and fix the problem within your code. You could also simply do nothing if the number if negative: + +x = -10 +try: + import math + print math.sqrt(x) +except: + pass + +3.5. What are the existing exceptions ? + +>>> import exceptions +>>> dir(exceptions) +['ArithmeticError', 'AssertionError', 'AttributeError', ...] + +3.6. User-defined exceptions + +Although there are quite a lot of exceptions, you can also define your own exception. The following example (From Python website exceptions) illustrates the syntax and usage: + +>>> class MyError(Exception): +... def __init__(self, value): +... self.value = value +... def __str__(self): +... return repr(self.value) +... +>>> try: +... raise(MyError(2*2)) +... except MyError, e: +... print 'My exception occured, value:', e.value +My exception occured, value: 4 + +3.7. Cleanup using the finally or with statement + +The finally block is run whatever is the outcome of the try block. This is particurlaly useful in the context of file manipulation.: + +try: + f = open("temp.txt", "w") + # something wrong here e.g. cannot open the file +except IOError, e: + print e +finally: + f.close() + +Another way to ensure the previous cleanup action is to use the with statement. Let consider this code that prints a file contents with numbers for each line (withouth the with statement): + +num = 1 +f = open(fname) +for line in f: + print("%d %s" % (num, line)) + num += 1 + +if you don’t call the close statement specifically, we don’t know precisey when the file will be closed. Instead, the same code can be written with the with statement as follows: + +num = 1 +with open(fname, "r") as f: + for line in f: + print("%d %s" % (num, line)) + num += 1 + +With the with statement; the file is closed immediately after the for loop. +3.8. Exception hierarchy + +From Python website (exception-hierarchy): + +BaseException + +-- SystemExit + +-- KeyboardInterrupt + +-- GeneratorExit + +-- Exception + +-- StopIteration + +-- StandardError + | +-- BufferError + | +-- ArithmeticError + | | +-- FloatingPointError + | | +-- OverflowError + | | +-- ZeroDivisionError + | +-- AssertionError + | +-- AttributeError + | +-- EnvironmentError + | | +-- IOError + | | +-- OSError + | | +-- WindowsError (Windows) + | | +-- VMSError (VMS) + | +-- EOFError + | +-- ImportError + | +-- LookupError + | | +-- IndexError + | | +-- KeyError + | +-- MemoryError + | +-- NameError + | | +-- UnboundLocalError + | +-- ReferenceError + | +-- RuntimeError + | | +-- NotImplementedError + | +-- SyntaxError + | | +-- IndentationError + | | +-- TabError + | +-- SystemError + | +-- TypeError + | +-- ValueError + | +-- UnicodeError + | +-- UnicodeDecodeError + | +-- UnicodeEncodeError + | +-- UnicodeTranslateError + +-- Warning + +-- DeprecationWarning + +-- PendingDeprecationWarning + +-- RuntimeWarning + +-- SyntaxWarning + +-- UserWarning + +-- FutureWarning + +-- ImportWarning + +-- UnicodeWarning + +-- BytesWarning + +3.9. A note about assertion + +You can perform quick sanity check using assertion and the assert() function: + +assert x > 0, "x must be greater than zero" + +Nevertheless, asserts usage are not recommended because they are disabled if Python is started with the optimisation option -O. It should be used for debugging only. Note that you can use built-in value __debug__ to include debugging code. From 480c7f87171890878b3e6e50c00d7b36a649e69f Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 18:21:29 +0530 Subject: [PATCH 042/105] Create class-sample-1.md --- class-sample-1.md | 107 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100644 class-sample-1.md diff --git a/class-sample-1.md b/class-sample-1.md new file mode 100644 index 0000000..ba022b2 --- /dev/null +++ b/class-sample-1.md @@ -0,0 +1,107 @@ +Defining Class And Object + +A class is a technique to group functions and data members and put them in a container so that they can be accessed later by using dot (.) operator. Objects are the basic runtime entities of object-oriented programming. It defines the instance of a class. Objects get their variables and functions from classes and the class we will be creating are the templates made to create the object. +Object-Oriented Terminologies + + class: Classes are a user-defined data type that is used to encapsulate data and associated functions together. It also helps in binding data together into a single unit. + Data Member: A variable or memory location name that holds value to does a specific task within a program. + Member Function: They are the functions; usually a block of a code snippet that is written to re-use it. + Instance variable: A variable that is defined inside a method of a class. + Function Overloading: This technique is used to assign multiple tasks to a single function & the tasks are performed based on the number of argument or the type of argument the function has. + Operator Overloading: It is the technique of assigning multiple function/tasks to a particular operator. + Inheritance: It is the process of acquiring the properties of one class to another i.e. one class can acquire the properties of another. + Instantiation: It is the technique of creating an instance of a class. + +Program For Class In Python +Example: + +#!/usr/bin/python + +class karl : + varabl = 'Hello' + +def function(self) : + print "This is a message Hello" + +Another program to explain functions inside a class: +Example: + +#!/usr/bin/python + +class karl(object) : + def __init__(self, x, y): + self.x = x + self.y = y + + def sample(self) : + print " This is just a sample code" + +In the above code, we created a class name karl using ‘class’ keyword. And two functions are used namely __init__() (for setting the instance variable) & sample(). Classes are used instead of modules because programmers can take this class ‘karl’ & use it or modify it as many times as we want & each one won’t interfere with each other. Importing a module brings the entire program into use. +Creating Objects (Instance Of A Class) + +Let’s see an example to show how to create an object: +Example: + +#!/usr/bin/pythonclass student: +class student: + def __init__(self, roll, name): + self.r = roll + self.n = name + print ((self.n)) + +#... +stud1 = student(1, "Alex") +stud2 = student(2, "Karlos") + +print (("Data successfully stored in variables")) + +Output: + +Alex +Karlos +Data successfully stored in variables + +Accessing Object Variables + +We can access the object’s variable using dot (.) operator. +The syntax is: + +my object_name.variable_name + +Example: + +print object.varabl + +Accessing Attributes + +Object attributes can also be accessed by using dot operator. +Example: + +stud1.display() +stud2.display() + +print " total number of students are: %d" % student.i + +Use Of Pre-defined Functions + +Instead of using general statements to access attributes, programmers can use the following functions: + + getattr( obj, name [,default] ) : used to access object’s attribute. + + hasattr( object, name): used for checking whether the attribute exists or not. + + setattr( obj, name, value ) : set or create an attribute, if doesn’t exist. + + delattr( obj, name ) : used to delete an attribute. + +Built-In Class Attributes + +All the Python built-in class attributes can be accessed using dot (.) operator like other attributes. + +The built-in class attributes are: + + __dict__: This attribute is a dictionary that contains class’s-namespace. + __doc__: Used for class documentation string. + __name__: used as class-name. + __module__: used to define module name for the class in which it is defined. In interactive mode it is __main__. + __bases__: An empty tuple containing the base-class. From c530f3121718a4ab2c416c61a97789eb0a12a164 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 18:37:08 +0530 Subject: [PATCH 043/105] Create Class.md --- Class.md | 279 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 279 insertions(+) create mode 100644 Class.md diff --git a/Class.md b/Class.md new file mode 100644 index 0000000..078e998 --- /dev/null +++ b/Class.md @@ -0,0 +1,279 @@ +# Classes +Classes model the behavior of objects in the "real" world. Methods implement the behaviors of these types of objects. Member variables hold (current) state. Classes enable us to implement new data types in Python. + +The `class:` statement is used to define a class. The `class:` statement creates a class object and binds it to a name. +A simple class + +``` +class A: + pass + +a = A() +``` + +To define a new style class (recommended), inherit from object or from another class that does. Example: +``` +class A(object): +pass + + +a = A() +a +<__main__.A object at 0x82fbfcc> +``` +## Defining methods +A method is a function defined in class scope and with first parameter self: + +``` +class B(object): + def show(self): + print 'hello from B' + +b = B() +b.show() +hello from B +``` +A method as we describe it here is more properly called an instance method, in order to distinguish it from class methods and static methods. + +## The constructor + +The constructor is a method named __init__. + +``` +class A(object): + def __init__(self, name): + self.name = name + def show(self): + print 'name: "%s"' % self.name + +a = A('dave') +a.show() +name: "dave" +``` + +Notes: + + The self variable is explicit. It references the current object, that is the object whose method is currently executing. + The spelling ("self") is optional, but everyone spells it that way. + +## Member variables + +Defining member variables -- Member variables are created with assignment. Example: + +``` +class A(object): + def __init__(self, name): + self.name = name +``` +A small gotcha -- Do this: +``` +class A(object): + def __init__(self, items=None): + if items is None: + self.items = [] + else: + self.items = items +``` +Do not do this: +``` + class B: + def __init__(self, items=[]): # wrong. list ctor evaluated only once. + self.items = items + +``` + +In the second example, the def statement and the list constructor are evaluated only once. Therefore, the item member variable of all instances of class B, will share the same value, which is most likely not what you want. + + +## Calling methods + * Use the instance and the dot operator. + * Calling a method defined in the same class or a superclass: + * From outside the class -- Use the instance: + +``` + some_object.some_method() + an_array_of_of_objects[1].another_method() +``` +From within the same class -- Use self: + +``` + self.a_method() +``` +From with a subclass when the method is in the superclass and there is a method with the same name in the current class -- Use the class (name) or use super: + +``` + SomeSuperClass.__init__(self, arg1, arg2) super(CurrentClass, + self).__init__(arg1, arg2) +``` +Calling a method defined in a specific superclass -- Use the class (name). + +## Class variables + + * Also called static data. + + * A class variable is shared by instances of the class. + +Define at class level with assignment. Example: + +``` + class A(object): + size = 5 + def get_size(self): + return A.size +``` + Reference with classname.variable. +``` + Caution: self.variable = x creates a new member variable. +``` +## Class methods and static methods + +### Instance (plain) methods: + + An instance method receives the instance as its first argument. + +### Class methods: + * A class method receives the class as its first argument. + * Define class methods with built-in function classmethod() or with decorator @classmethod. + * See the description of classmethod() built-in function at "Built-in Functions": http://docs.python.org/2/library/functions.html#classmethod + +``` +class C(object): + @classmethod + def fun(cls, arg1, arg2, ...): + .... +fun: function that needs to be converted into a class method +returns: a class method for function. +``` + +###Static methods: + * A static method receives neither the instance nor the class as its first argument. + * Define static methods with built-in function staticmethod() or with decorator @staticmethod. + * See the description of staticmethod() built-in function at "Built-in Functions": http://docs.python.org/2/library/functions.html#staticmethod + +``` +class C(object): + @staticmethod + def fun(arg1, arg2, ...): + ... +returns: a static method for function fun. + +``` + + +## Inheritance + +In order to inherit fro, an existing class, use the following syntax: +``` +class Animal(object): + def __init__(self, name="unknown"): + self.name = name + def __str__(self): + print("I'm a {0}".format(self.name)) + +def Cat(Animal): + def __init__(self): + super().__init__(name='CAT') +``` +Here, the parent’s class Animal is initialised inside the child class using the super keyword. The Cat inherits from Animal and therefore has the method print already available. +## Multiple inheritance + +if Python cannot find a variable or method in the local namespace, it will perform a depth first search of the super classes in the same order in which the superclasses are specified in the class definition. + +That’s all you need to know !! Let us study an example: +``` +class Vehicle(object): + def __init__(self, name, color, wheel): + self.name = name + self.wheels = None + self.color = None + + def set_wheels(self, n): + self.wheels = 2 + + def __str__(self): + txt = str(self.name) + ":" + registration + return txt + +class TwoWheeler(object): + + def __init__(self, name, color): + self.name = name + self.set_wheels(2) + self.color = None + + def __str__(self): + return self.wheels + +class MotorVehicle(object): + + def __init__(self, name, color, power): + self.name = name + self.set_wheels(2) + self.color = None + self.power + +class Bicycle(TwoWheeler, gear): + + def __init__(self, name, color, gear): + self.name = name + self.set_wheels(2) + self.color = None +``` + + +## property + +The property built-in function enables us to write classes in a way that does not require a user of the class to use getters and setters. Example: + +``` +class Person: + def __init__(self, height): + self.height = height + + def get_height(self): + return self.height + + def set_height(self, height): + self.height = height + +jane = Person(153) # Jane is 153cm tall + +jane.height += 1 # Jane grows by a centimetre +jane.set_height(jane.height + 1) # Jane grows again + +``` + +The property built-in function is also a decorator. So, the following is equivalent to the above example: + +``` +class Person: + def __init__(self, name, surname): + self.name = name + self.surname = surname + + @property + def fullname(self): + return "%s %s" % (self.name, self.surname) + + @fullname.setter + def fullname(self, value): + # this is much more complicated in real life + name, surname = value.split(" ", 1) + self.name = name + self.surname = surname + + @fullname.deleter + def fullname(self): + del self.name + del self.surname + +jane = Person("Jane", "Smith") +print(jane.fullname) + +jane.fullname = "Jane Doe" +print(jane.fullname) +print(jane.name) +print(jane.surname) + +``` + From e59c673ab46834c0af8b4595f6cebd11f2fd268e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 18:56:37 +0530 Subject: [PATCH 044/105] Update Class.md --- Class.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Class.md b/Class.md index 078e998..b711ad8 100644 --- a/Class.md +++ b/Class.md @@ -145,7 +145,7 @@ fun: function that needs to be converted into a class method returns: a class method for function. ``` -###Static methods: +### Static methods: * A static method receives neither the instance nor the class as its first argument. * Define static methods with built-in function staticmethod() or with decorator @staticmethod. * See the description of staticmethod() built-in function at "Built-in Functions": http://docs.python.org/2/library/functions.html#staticmethod From 6452e285e6833f2f6cf40cbf9f51d660a67cf66d Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 18:59:08 +0530 Subject: [PATCH 045/105] Update Class.md From a8619ae0ab4e9c0d5945c9ac33a38d796ce551d9 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 19:09:12 +0530 Subject: [PATCH 046/105] Create File_handling.md --- File_handling.md | 106 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 File_handling.md diff --git a/File_handling.md b/File_handling.md new file mode 100644 index 0000000..00cc2bb --- /dev/null +++ b/File_handling.md @@ -0,0 +1,106 @@ +# File handling +A file is some information or data which stays in the computer storage devices. + +File opening + +To open a file we use open() function. It requires two arguments, first the file path or file name, second which mode it should open. Modes are like + +* “r” -> open read only, you can read the file but can not edit / delete anything inside +* “w” -> open with write power, means if the file exists then delete all content and open it to write +* “a” -> open in append mode + +The default mode is read only, ie if you do not provide any mode it will open the file as read only. Let us open a file +``` +>>> fobj = open("love.txt") +>>> fobj +<_io.TextIOWrapper name='love.txt' mode='r' encoding='UTF-8'> +``` +## Closing a file + +After opening a file one should always close the opened file. We use method close() for this. +``` +>>> fobj = open("love.txt") +>>> fobj +<_io.TextIOWrapper name='love.txt' mode='r' encoding='UTF-8'> +>>> fobj.close() +``` + +To read the whole file at once use the read() method. +``` +>>> fobj = open("sample.txt") +>>> fobj.read() +'I love Python\nPradeepto loves KDE\nSankarshan loves Openoffice\n' +``` +If you call read() again it will return empty string as it already read the whole file. readline() can help you to read one line each time from the file. +``` +>>> fobj = open("sample.txt") +>>> fobj.readline() +'I love Python\n' +>>> fobj.readline() +'Pradeepto loves KDE\n' +``` +To read all the lines in a list we use readlines() method. +``` +>>> fobj = open("sample.txt") +>>> fobj.readlines() +['I love Python\n', 'Pradeepto loves KDE\n', 'Sankarshan loves Openoffice\n'] +``` +You can even loop through the lines in a file object. +``` +>>> fobj = open("sample.txt") +>>> for x in fobj: +... print(x,) +... +I love Python +Pradeepto loves KDE +Sankarshan loves Openoffice +``` +Let us write a program which will take the file name as the input from the user and show the content of the file in the console. + +``` +name = input("Enter the file name: ") +fobj = open(name) +print(fobj.read()) +fobj.close() +``` +In the last line you can see that we closed the file object with the help of close() method. + +The output +``` +$ ./showfile.py +Enter the filename: sample.txt +I love Python +Pradeepto loves KDE +Sankarshan loves Openoffice +``` +### Using the with statement + +In real life scenarios we should try to use with statement. It will take care of closing the file for you. +``` +>>> with open('setup.py') as fobj: +... for line in fobj: +... print line, +... +``` +### Writing in a file + +Let us open a file then we will write some random text into it by using the write() method. +``` +>>> fobj = open("ircnicks.txt", 'w') +>>> fobj.write('powerpork\n') +>>> fobj.write('indrag\n') +>>> fobj.write('mishti\n') +>>> fobj.write('sankarshan') +>>> fobj.close() +``` +Now read the file we just created +``` +>>>fobj = open('ircnicks.txt') +>>> s = fobj.read() +>>> print(s) +powerpork +indrag +mishti +sankarshan + +``` From c1423dd983685b1b3b9c111bb2037f621d12edf4 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 19:25:09 +0530 Subject: [PATCH 047/105] Create regular-expression.md --- regular-expression.md | 268 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 268 insertions(+) create mode 100644 regular-expression.md diff --git a/regular-expression.md b/regular-expression.md new file mode 100644 index 0000000..8492938 --- /dev/null +++ b/regular-expression.md @@ -0,0 +1,268 @@ +# Regular Expressions + +A regular expression pattern is a sequence of characters that will match sequences of characters in a target. + +The patterns or regular expressions can be defined as follows: +* Literal characters must match exactly. For example, "a" matches "a". +* Concatenated patterns match concatenated targets. For example, "ab" ("a" followed by "b") matches "ab". +* Alternate patterns (separated by a vertical bar) match either of the alternative patterns. For example, "(aaa)|(bbb)" will match either "aaa" or "bbb". +* Repeating and optional items: + * "abc*" matches "ab" followed by zero or more occurances of "c", for example, "ab", "abc", "abcc", etc. + * "abc+" matches "ab" followed by one or more occurances of "c", for example, "abc", "abcc", etc, but not "ab". + * "abc?" matches "ab" followed by zero or one occurances of "c", for example, "ab" or "abc". + +### Compiling regular expressions +When a regular expression is to be used more than once, you should consider compiling it. For example: +``` +import sys, re + +pat = re.compile('aa[bc]*dd') + +while 1: + line = raw_input('Enter a line ("q" to quit):') + if line == 'q': + break + if pat.search(line): + print 'matched:', line + else: + print 'no match:', line +``` +Comments: + + We import module re in order to use regular expresions. + re.compile() compiles a regular expression so that we can reuse the compiled regular expression without compiling it repeatedly. + +### Using regular expressions + +Use match() to match at the beginning of a string (or not at all). + +Use search() to search a string and match the first string from the left. + +Here are some examples: + +>>> import re +>>> pat = re.compile('aa[0-9]*bb') +>>> x = pat.match('aa1234bbccddee') +>>> x +<_sre.SRE_Match object at 0x401e9608> +>>> x = pat.match('xxxxaa1234bbccddee') +>>> x +>>> type(x) + +>>> x = pat.search('xxxxaa1234bbccddee') +>>> x +<_sre.SRE_Match object at 0x401e9608> + +Notes: + + When a match or search is successful, it returns a match object. When it fails, it returns None. + + You can also call the corresponding functions match and search in the re module, e.g.: + + >>> x = re.search(pat, 'xxxxaa1234bbccddee') + >>> x + <_sre.SRE_Match object at 0x401e9560> + + For a list of functions in the re module, see Module Contents -- http://docs.python.org/library/re.html#module-contents. + +### Using match objects to extract a value + +Match objects enable you to extract matched sub-strings after performing a match. A match object is returned by successful match. The part of the target available in the match object is the portion matched by groups in the pattern, that is the portion of the pattern inside parentheses. For example: + +``` +mo = re.search(r'height: (\d*) width: (\d*)', 'height: 123 width: 456') +mo.groups() +('123', '456') +``` + +## some examples +``` +import re + +def print_match(match): + if match is None: + print 'No match' + return + + print "'{g}' was matched between the indices {s}".format(g=match.group(), s=match.span()) + return match + +``` +word = "infinity" + + +Find the character 'i' at the beginning of the word +``` + print re.findall(r"^i", word) + ['i'] + +``` +Find all occurrences of the character 'i' +``` +print re.findall(r"i", word) +['i', 'i', 'i'] +``` +Find all non-overlapping two-character length substrings, where the second character is 'i' +``` +print re.findall(r".i", word) +['fi', 'ni'] +``` + +Find all non-overlapping substrings ending with character 'i', +where the preceding character exists or does not +``` +print re.findall(r".?i", word) + ['i', 'fi', 'ni'] +``` + +Find all non-overlapping substrings 'in' +``` +print re.findall(r"i[n]", word) +['in', 'in'] +``` +Find all non-overlapping substrings starting with character 'i', +and ending with any character except 'n' +``` +print re.findall(r"i[^n]", word) +['it'] +``` + +Perform a greedy searching for the substring starting and ending with the character 'i' +(longest possible match) +``` +print_match(re.search(r"i.*i", word)) +``` +'infini' was matched between the indices (0, 6) + +Perform a non-greedy searching for the substring starting and ending with the character 'i' +(shortest possible match) +``` +print_match(re.search(r"i.*?i", word)) +'infi' was matched between the indices (0, 4) + +``` + +single_line = "Looks like this sentence is not as simple as it looks" + + + +Perform a case-sensitive searching for the first occurrence of the word 'looks' +``` +print_match(re.search(r"looks", single_line)) + +'looks' was matched between the indices (48, 53) +``` +Perform a case-insensitive searching for the first occurrence of the word 'looks' +``` +print_match(re.search(r"looks", single_line, re.IGNORECASE)) +'looks' was matched between the indices (0, 5) +``` + +Perform a case-sensitive matching for the word 'looks' +``` +print_match(re.match(r"looks", single_line)) +No match +``` +Perform a case-insensitive matching for the word 'looks' +``` +print_match(re.match(r"looks", single_line, re.IGNORECASE)) +'Looks' was matched between the indices (0, 5) +``` + + +# Orinoco Flow by Enya +multi_line = """Let me sail, let me sail +Let the Orinoco Flow +Let me reach, let me beach +On the shores of Tripoli""" + + + +# Searching for the word 'sail' at the end of the string +print_match(re.search(r"sail$", multi_line)) +# No match + + +# Searching for the word 'sail' at the end of any line +print_match(re.search(r"sail$", multi_line, re.MULTILINE)) +# 'sail' was matched between the indices (20, 24) + + +# Searching for the phrase 'beach On' with any character except newline between these two words +print_match(re.search(r"beach.On", multi_line)) +# No match + + +#Searching for the phrase 'beach On' with any character between these two words +print_match(re.search(r"beach.On", multi_line, re.DOTALL)) +# 'beach +# On' was matched between the indices (67, 75) + + +# Searching for all the lines between the line containing the word 'reach', +# and the line ending with the word 'Tripoli' +print_match(re.search(r"^[^\n]*reach.*Tripoli$", multi_line, re.MULTILINE|re.DOTALL)) +# 'Let me reach, let me beach +# On the shores of Tripoli' was matched between the indices (46, 97) + + + + +import re + + +string = "Once you have accomplished small things, you may attempt great ones safely." + +# Return all words beginning with letter 'a', as a list of strings +print re.findall(r"\ba[\w]+", string) +# ['accomplished', 'attempt'] + + +# Return all words beginning with letter 'a', as an iterator yielding match objects +it = re.finditer(r"\ba[\w]+", string) +for match in it: + print "'{g}' was found between the indices {s}".format(g=match.group(), s=match.span()) +# 'accomplished' was found between the indices (14, 26) +# 'attempt' was found between the indices (49, 56) + + + +# Split string by any character which is not a UNICODE word character +print re.split("\W+", string) +# ['Once', 'you', 'have', 'accomplished', 'small', 'things', 'you', 'may', 'attempt', 'great', 'ones', 'safely', ''] + +# Split string by any character which is not a UNICODE word character at most 2 split +print re.split("\W+", string, 2) +# ['Once', 'you', 'have accomplished small things, you may attempt great ones safely.'] + +# If the splitting pattern does not occur in the string, string is returned as the first element of the list +print re.split("(:)", string) +# ['Once you have accomplished small things, you may attempt great ones safely.'] + + + +# Replace all occurrences of space, comma, or dot with colon +print re.sub("[ ,.]", ":", string) +# Once:you:have:accomplished:small:things::you:may:attempt:great:ones:safely: + +# Replace maximum 2 occurences of pattern +print re.sub("[ ,.]", ":", string, 2) +# Once:you:have accomplished small things, you may attempt great ones safely. + +# Replace as 'sub', and return a tuple of (new string, number of replacements) +print re.subn("[ ,.]", ":", string) +# ('Once:you:have:accomplished:small:things::you:may:attempt:great:ones:safely:', 13) + + + +# Find all five characthers long words +print re.findall(r"\b\w{5}\b", string) +# ['small', 'great'] + +# Find all five, six, or seven characthers long words +print re.findall(r"\b\w{5,7}\b", string) +# ['small', 'things', 'attempt', 'great', 'safely'] + +# Find all words which are at least 8 characters long +print re.findall(r"\b\w{8,}\b", string) +# ['accomplished'] From 6f24e25098189a189cf50e5774dc288569a43ffe Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 21 Dec 2017 21:27:27 +0530 Subject: [PATCH 048/105] Create python-database.md --- python-database.md | 237 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 237 insertions(+) create mode 100644 python-database.md diff --git a/python-database.md b/python-database.md new file mode 100644 index 0000000..9221547 --- /dev/null +++ b/python-database.md @@ -0,0 +1,237 @@ +# python sqllite3 + + +SQLite is a simple relational database system, which saves its data in regular data files or even in the internal memory of the computer, i.e. the RAM. + +* First, establish a connection to the the SQLite database by creating a Connection object. +* Next, create a Cursor object using the cursor method of the Connection object. +* Then, execute the SELECT statement. +* After that, call the fetchall() method of the cursor object to fetch the data. +* Finally, loop the cursor and process each row individually. + + +## Creating a new database in Python + +``` +import sqlite3 + +with sqlite3.connect('example.db') as db: + pass + +``` +## checking version +``` +#!/usr/bin/python +# -*- coding: utf-8 -*- + +import sqlite3 as lite +import sys + +con = None + +con = lite.connect('test.db') +cur = con.cursor() +cur.execute('SELECT SQLITE_VERSION()') +data = cur.fetchone() +print "SQLite version: %s" % data +con.close() + +``` +## Creating Database Table + + +``` +#!/usr/bin/python + +import sqlite3 + +conn = sqlite3.connect('test.db') +print "Opened database successfully"; + +conn.execute('''CREATE TABLE COMPANY + (ID INT PRIMARY KEY NOT NULL, + NAME TEXT NOT NULL, + AGE INT NOT NULL, + ADDRESS CHAR(50), + SALARY REAL);''') +print "Table created successfully"; + +conn.close() +``` + + +## INSERT Operation + +``` +#!/usr/bin/python + +import sqlite3 + +conn = sqlite3.connect('test.db') +print "Opened database successfully"; + +conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ + VALUES (1, 'Paul', 32, 'California', 20000.00 )"); + +conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ + VALUES (2, 'Allen', 25, 'Texas', 15000.00 )"); + +conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ + VALUES (3, 'Teddy', 23, 'Norway', 20000.00 )"); + +conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ + VALUES (4, 'Mark', 25, 'Rich-Mond ', 65000.00 )"); + +conn.commit() +print "Records created successfully"; +conn.close() +``` + +When the above program is executed, it will create the given records in the COMPANY table and it will display the following two lines − +``` +Opened database successfully +Records created successfully +``` +## SELECT Operation + +Following Python program shows how to fetch and display records from the COMPANY table created in the above example. +``` +#!/usr/bin/python + +import sqlite3 + +conn = sqlite3.connect('test.db') +print "Opened database successfully"; + +cursor = conn.execute("SELECT id, name, address, salary from COMPANY") +for row in cursor: + print "ID = ", row[0] + print "NAME = ", row[1] + print "ADDRESS = ", row[2] + print "SALARY = ", row[3], "\n" + +print "Operation done successfully"; +conn.close() +``` +When the above program is executed, it will produce the following result. +``` +Opened database successfully +ID = 1 +NAME = Paul +ADDRESS = California +SALARY = 20000.0 + +ID = 2 +NAME = Allen +ADDRESS = Texas +SALARY = 15000.0 + +ID = 3 +NAME = Teddy +ADDRESS = Norway +SALARY = 20000.0 + +ID = 4 +NAME = Mark +ADDRESS = Rich-Mond +SALARY = 65000.0 + +Operation done successfully +``` +## UPDATE Operation + +Following Python code shows how to use UPDATE statement to update any record and then fetch and display the updated records from the COMPANY table. +``` +#!/usr/bin/python + +import sqlite3 + +conn = sqlite3.connect('test.db') +print "Opened database successfully"; + +conn.execute("UPDATE COMPANY set SALARY = 25000.00 where ID = 1") +conn.commit +print "Total number of rows updated :", conn.total_changes + +cursor = conn.execute("SELECT id, name, address, salary from COMPANY") +for row in cursor: + print "ID = ", row[0] + print "NAME = ", row[1] + print "ADDRESS = ", row[2] + print "SALARY = ", row[3], "\n" + +print "Operation done successfully"; +conn.close() +``` +When the above program is executed, it will produce the following result. +``` +Opened database successfully +Total number of rows updated : 1 +ID = 1 +NAME = Paul +ADDRESS = California +SALARY = 25000.0 + +ID = 2 +NAME = Allen +ADDRESS = Texas +SALARY = 15000.0 + +ID = 3 +NAME = Teddy +ADDRESS = Norway +SALARY = 20000.0 + +ID = 4 +NAME = Mark +ADDRESS = Rich-Mond +SALARY = 65000.0 + +Operation done successfully +``` +## DELETE Operation + +Following Python code shows how to use DELETE statement to delete any record and then fetch and display the remaining records from the COMPANY table. +``` +#!/usr/bin/python + +import sqlite3 + +conn = sqlite3.connect('test.db') +print "Opened database successfully"; + +conn.execute("DELETE from COMPANY where ID = 2;") +conn.commit() +print "Total number of rows deleted :", conn.total_changes + +cursor = conn.execute("SELECT id, name, address, salary from COMPANY") +for row in cursor: + print "ID = ", row[0] + print "NAME = ", row[1] + print "ADDRESS = ", row[2] + print "SALARY = ", row[3], "\n" + +print "Operation done successfully"; +conn.close() +``` +When the above program is executed, it will produce the following result. +``` +Opened database successfully +Total number of rows deleted : 1 +ID = 1 +NAME = Paul +ADDRESS = California +SALARY = 20000.0 + +ID = 3 +NAME = Teddy +ADDRESS = Norway +SALARY = 20000.0 + +ID = 4 +NAME = Mark +ADDRESS = Rich-Mond +SALARY = 65000.0 + +Operation done successfully +``` From 66ed6289cdd2cf0cfbe3ee0965496b0c9869036d Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 02:22:20 +0530 Subject: [PATCH 049/105] Create modulue.md --- modulue.md | 88 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 88 insertions(+) create mode 100644 modulue.md diff --git a/modulue.md b/modulue.md new file mode 100644 index 0000000..4e9d056 --- /dev/null +++ b/modulue.md @@ -0,0 +1,88 @@ +Modules are reusable libraries of code in Python. Python comes with many standard library modules. + +A module is imported using the import statement. + + +>>> import time +>>> print time.asctime() +'Fri Mar 30 12:59:21 2012' + + +In this example, we’ve imported the time module and called the asctime function from that module, which returns current time as a string. + +There is also another way to use the import statement. + +>>> from time import asctime +>>> asctime() +'Fri Mar 30 13:01:37 2012' + +Here were imported just the asctime function from the time module. + + +Writing our own modules is very simple. + +For example, create a file called num.py with the following content. + +def square(x): + return x * x + +def cube(x): + return x * x * x + + + + ]== + + >>> import num +>>> num.square(3) +9 +>>> num.cube(3) +27 + + + + +""" +Bars Module +============ +This is an example module with provide different ways to print bars. +""" +def starbar(num): + """Prints a bar with * + + :arg num: Length of the bar + """ + print('*' * num) + +def hashbar(num): + """Prints a bar with # + + :arg num: Length of the bar + """ + print('#' * num) + +def simplebar(num): + """Prints a bar with - + + :arg num: Length of the bar + """ + print('-' * num) + + + + >>> import bars +>>> + + +>>> bars.hashbar(10) +########## +>>> bars.simplebar(10) +---------- +>>> bars.starbar(10) +********** + + + + + + From 3c4d6fb1b4507d9426d3ac6acd02146148d511cc Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 02:36:17 +0530 Subject: [PATCH 050/105] Create README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..ab710c6 --- /dev/null +++ b/README.md @@ -0,0 +1,4 @@ +# python-basics + +[1 Index](index.md) + From 920364cb1851aec41bc8f0d6247090d1fb756e27 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 02:37:48 +0530 Subject: [PATCH 051/105] Update index.md --- index.md | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/index.md b/index.md index 792e75e..7f371c7 100644 --- a/index.md +++ b/index.md @@ -115,17 +115,7 @@ * Class variables * Class methods and static methods * Properties -14. Object-Oriented Programming - * Managing Larger Programs - * Getting Started - * Using Objects - * Starting with Programs - * Subdividing a Problem - Encapsulation - * Our First Python Object - * Classes as Types - * Object Lifecycle - * Many Instances - * Inheritance + 15. Regular Expressions * Defining regular expressions * Compiling regular expressions From f55360806ff6780b2c868ac633eb60637881296a Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 15:01:10 +0530 Subject: [PATCH 052/105] Create json.md --- json.md | 56 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 json.md diff --git a/json.md b/json.md new file mode 100644 index 0000000..071709c --- /dev/null +++ b/json.md @@ -0,0 +1,56 @@ +"JSON (pronounced 'Jason'), short for JavaScript Object Notation, is a lightweight computer data interchange format. It is a text-based, human-readable format for representing simple data structures and associative arrays (called objects)." +JSON can store Lists, bools, numbers, tuples and dictionaries. But to be saved into a file, all these structures must be reduced to strings. It is the string version that can be read or written to a file. Python has a JSON module that will help converting the datastructures to JSON strings. Use the import function to import the JSON module. + + +Functions +json.dump(obj, fileObj): Serializes obj as a JSON formatted stream to fileObj. +json.dumps(obj) : Serializes obj as JSON formatted string. +json.load(JSONfile) : De-serializes JSONfile to a Python object. +json.loads(JSONfile) : De-serializes JSONfile(type: string) to a Python object. + +Classes +JSONEncoder: An encoder class to convert Python objects to JSON format. +JSONDecoder: A decoder class to convert JSON format file into Python obj. + +The conversions are based on this conversion table. + + +import json + +The JSON module is mainly used to convert the python dictionary above into a JSON string that can be written into a file. + +json_string = json.dumps(datastore) + +The JSON module can also take a JSON string and convert it back to a dictionary structure: + +datastore = json.loads(json_string) + +While the JSON module will convert strings to Python datatypes, normally the JSON functions are used to read and write directly from JSON files. + + +Parsing JSON + +Take the following string containing JSON data: + +json_string = '{"first_name": "Guido", "last_name":"Rossum"}' + +It can be parsed like this: + +import json +parsed_json = json.loads(json_string) + +and can now be used as a normal dictionary: + +print(parsed_json['first_name']) +"Guido" + +You can also convert the following to JSON: + +d = { + 'first_name': 'Guido', + 'second_name': 'Rossum', + 'titles': ['BDFL', 'Developer'], +} + +print(json.dumps(d)) +'{"first_name": "Guido", "last_name": "Rossum", "titles": ["BDFL", "De From fd9f78cd1fe349cd8d0f26e043ceb40d048b23fb Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 15:03:26 +0530 Subject: [PATCH 053/105] Update json.md --- json.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/json.md b/json.md index 071709c..71983eb 100644 --- a/json.md +++ b/json.md @@ -15,6 +15,15 @@ JSONDecoder: A decoder class to convert JSON format file into Python obj. The conversions are based on this conversion table. +json .load(f): Load json data from file + +json.loads(f): Load Josn data form stroing + +json.dump(j,f) :write json object to file + +json.dumps(j) : Json Object to String + + import json The JSON module is mainly used to convert the python dictionary above into a JSON string that can be written into a file. From 89b141fec804bf2800fb5d75a8f74b9396fa394f Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 17:11:11 +0530 Subject: [PATCH 054/105] Update Introduction.md --- Introduction.md | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index 44c6a41..430827d 100644 --- a/Introduction.md +++ b/Introduction.md @@ -60,9 +60,26 @@ And, the convention is to use four spaces (and no hard tabs) for each level of i * Automatic garbage collection. (But, there is a gc module to allow explicit control of garbage collection.) ## Python interpreter - ### There are two modes for using the Python interpreter: +### There are two modes for using the Python interpreter: * Interactive Mode * Script Mode + +### Interactive Mode + +Without passing python script file to the interpreter, directly execute code to Python prompt. +Example: +``` +>>>2+6 +``` +Output: +``` +8 +``` +### Script Mode +programmers can store Python script source code in a file with the .py extension, and use the interpreter to execute the contents of the file. To execute the script by the interpreter, you have to tell the interpreter the name of the file. For example, if you have a script name MyFile.py and you’re working on Unix, to run the script you have to type: +``` +python MyFile.py +``` ## Comments Comments are any text to the right of the # symbol and is mainly useful as notes for the reader of the program. From 3190e5ad070cf57ff3f23721f3bdd303e2a6ab3e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 17:12:27 +0530 Subject: [PATCH 055/105] Update Introduction.md --- Introduction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index 430827d..c479c65 100644 --- a/Introduction.md +++ b/Introduction.md @@ -91,7 +91,7 @@ eg: # Note that print is a function print('hello world') ``` -## Use as many useful comments as you can in your program to: +### Use as many useful comments as you can in your program to: * explain assumptions * explain important decisions * explain important details From 3a6c7da8a52b8ea926a1bc24b76e8b2fa607ecb5 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 17:13:10 +0530 Subject: [PATCH 056/105] Update Introduction.md --- Introduction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index c479c65..286acf7 100644 --- a/Introduction.md +++ b/Introduction.md @@ -105,7 +105,7 @@ eg: * Whitespace is important in Python. Actually, whitespace at the beginning of the line is important. This is called indentation. * Leading whitespace (spaces and tabs) at the beginning of the logical line is used to determine the indentation level of the logical line, which in turn is used to determine the grouping of statements. * This means that statements which go together must have the same indentation.Each such set of statements is called a block -eg: + ``` i = 5 # Error below! Notice a single space at the start of the line From 9ace43ec92dc430f4d94e99726ca36d4423f9f28 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 17:16:01 +0530 Subject: [PATCH 057/105] Update Introduction.md --- Introduction.md | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/Introduction.md b/Introduction.md index 286acf7..c8bdd45 100644 --- a/Introduction.md +++ b/Introduction.md @@ -158,7 +158,7 @@ eg: ## format method * Sometimes we may want to construct strings from other information. This is where the format() method is useful. * A string can use certain specifications and subsequently, the format method can be called to substitute those specifications with corresponding arguments to the format method. -eg: + ``` age = 20 name = 'Danny' @@ -171,12 +171,6 @@ output: Danny was 20 years old when he wrote this book Why is Danny playing with that python? ``` -eg2: - age = 20 - name = 'Danny' - - print('{} was {} years old when he wrote this book'.format(name, age)) - print('Why is {} playing with that python?'.format(name)) ## Escape Sequences * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. From 062bffcc6ab708d0c6dabdec57cca28c46a490fd Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 17:18:12 +0530 Subject: [PATCH 058/105] Update Introduction.md --- Introduction.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/Introduction.md b/Introduction.md index c8bdd45..0c32d41 100644 --- a/Introduction.md +++ b/Introduction.md @@ -176,7 +176,7 @@ output: * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. * you can specify the string as 'What\'s your name?' or "What's your name?" * the newline character - \n - eg: + ``` 'This is the first line\nThis is the second line' ``` @@ -195,6 +195,22 @@ output: ``` "This is the first line This is the second line" ``` +The lists of Escape Characters in Python are: + +* \a: alert +* \b: backspace +* \cx: Control X +* \e: escape +* \f: Form feed +* \n: New line or next line +* \r: carriage return +* \s: space +* \t: tab +* \v: Vertical Tab + + + + ## Variable * Container of date , we need some way of storing any information and manipulate them as well. * Naming From dc0664eca6e5d441afa691f984203b7b18a37850 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 22 Dec 2017 20:55:19 +0530 Subject: [PATCH 059/105] Update Introduction.md --- Introduction.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/Introduction.md b/Introduction.md index 0c32d41..4569811 100644 --- a/Introduction.md +++ b/Introduction.md @@ -212,11 +212,13 @@ The lists of Escape Characters in Python are: ## Variable +### what is Variables + * Container of date , we need some way of storing any information and manipulate them as well. - * Naming - * The first character of the identifier must be a letter of the alphabet (uppercase ASCII or lowercase ASCII or Unicode character) or an underscore (_). - * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) - * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter +### Naming Variable + * The first character of the identifier must be a letter of the alphabet (uppercase ASCII or lowercase ASCII or Unicode character) or an underscore (_). + * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) + * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter ## Data Types * Variables can hold values of different types called data types. ## Object From 3ac98ee26c40ec9d2db8e1476287d42a7302e776 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 3 Jan 2018 13:03:47 +0530 Subject: [PATCH 060/105] Create Variables.md --- Variables.md | 91 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 91 insertions(+) create mode 100644 Variables.md diff --git a/Variables.md b/Variables.md new file mode 100644 index 0000000..1519886 --- /dev/null +++ b/Variables.md @@ -0,0 +1,91 @@ +## Variable +### what is Variables + + * Container of date , we need some way of storing any information and manipulate them as well. +### Naming Variable + * The first character of the identifier must be a letter of the alphabet (uppercase ASCII or lowercase ASCII or Unicode character) or an underscore (_). + * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) + * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter +## Data Types + * Variables can hold values of different types called data types. +## Object + * Python refers to anything used in a program as an object. +## Operators and expressions + * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. +eg: +``` + >>> 2 + 3 + 5 + >>> 23 - 3 + 20 + >>> 22.0 / 12 + 1.8333333333333333 + >>> 14 % 3(modulue operator) + 2 +``` +``` +=>Relational Operators +< Is less than +<= Is less than or equal to +> Is greater than +>= Is greater than or equal to +== Is equal to +!= Is not equal to + >>> 1 < 2 + True + >>> 3 > 34 + False + >>> 23 == 45 + False + >>> 34 != 323 + True +``` +## Logical Operators + * To do logical AND , OR we use and ,*or* keywords. x and y returns False if x is False else it returns evaluation of y. If x is True, it returns True. +eg: +``` + >>> 1 and 4 + 4 + >>> 1 or 4 + 1 + >>> -1 or 4 + -1 + >>> 0 or 4 + 4 +``` +=>Shorthand Operator + * x op= expression is the syntax for shorthand operators. It will be evaluated like x = x op expression +eg: +``` + >>> a = 12 + >>> a += 13 (equal to a = a+1) + >>> a + 25 +``` +## Expressions + * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like +eg: +``` + a = 234 * (45 - 56.0 / 34) +``` +## Conversions + * Convert from one type to another type +eg: +``` + >>> a = 5 + >>> type(a) + + >>> a = str(a) + >>> a + '5' + >>> type(a) + +``` + + + + + + + + From a9f75ce5405b67aaaa31ca9ce4b02d992e525f77 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 3 Jan 2018 23:44:12 +0530 Subject: [PATCH 061/105] Update Variables.md --- Variables.md | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/Variables.md b/Variables.md index 1519886..53e3d83 100644 --- a/Variables.md +++ b/Variables.md @@ -6,8 +6,27 @@ * The first character of the identifier must be a letter of the alphabet (uppercase ASCII or lowercase ASCII or Unicode character) or an underscore (_). * The rest of the identifier name can consist of letters (uppercase ASCII or lowercase ASCII or Unicode character), underscores (_) or digits (0-9) * Identifier names are case-sensitive. For example, myname and myName are not the same. Note the lowercase n in the former and the uppercase N in the latter -## Data Types - * Variables can hold values of different types called data types. +## Data Types in Python + * Everything in Python programming is an object, and each object has its own unique identity(a type and a value). + + * There are many native(built-in) data types available in Python. + +## Some important are: + + * Numbers: An are integers (such as 1, 2, 3…), floats (such as 2.6, 4.8 etc), fractions (such as ½. ¾ etc) or even complex numbers. + - int (signed integer) + - float + - long + - complex + * Sequences: + - Strings: Sequence of Unicode characters, like an HTML document. + - Bytes/Byte array: Any type of file. + - Lists: An ordered sequence of values. + - Tuples: An ordered immutable sequence of values. + + * Boolean: Holds either true or false values. + * Sets: An unordered container of values. + * Dictionaries: An key-paired values set in an unordered way. ## Object * Python refers to anything used in a program as an object. ## Operators and expressions From 0b8dff89713ed1cedb9a380aad1d00fab714c494 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 3 Jan 2018 23:57:46 +0530 Subject: [PATCH 062/105] Create Operators_and_expressions.md --- Operators_and_expressions.md | 58 ++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100644 Operators_and_expressions.md diff --git a/Operators_and_expressions.md b/Operators_and_expressions.md new file mode 100644 index 0000000..cb411f3 --- /dev/null +++ b/Operators_and_expressions.md @@ -0,0 +1,58 @@ +## Operators and expressions + * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. +eg: +``` + >>> 2 + 3 + 5 + >>> 23 - 3 + 20 + >>> 22.0 / 12 + 1.8333333333333333 + >>> 14 % 3(modulue operator) + 2 +``` +``` +=>Relational Operators +< Is less than +<= Is less than or equal to +> Is greater than +>= Is greater than or equal to +== Is equal to +!= Is not equal to + >>> 1 < 2 + True + >>> 3 > 34 + False + >>> 23 == 45 + False + >>> 34 != 323 + True +``` +## Logical Operators + * To do logical AND , OR we use and ,*or* keywords. x and y returns False if x is False else it returns evaluation of y. If x is True, it returns True. +eg: +``` + >>> 1 and 4 + 4 + >>> 1 or 4 + 1 + >>> -1 or 4 + -1 + >>> 0 or 4 + 4 +``` +=>Shorthand Operator + * x op= expression is the syntax for shorthand operators. It will be evaluated like x = x op expression +eg: +``` + >>> a = 12 + >>> a += 13 (equal to a = a+1) + >>> a + 25 +``` +## Expressions + * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like +eg: +``` + a = 234 * (45 - 56.0 / 34) +``` From 2eed46de3c86c9bbd4485d9b2746c865eccd3f04 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 00:22:39 +0530 Subject: [PATCH 063/105] Update Variables.md --- Variables.md | 78 ++++++++++++++++------------------------------------ 1 file changed, 24 insertions(+), 54 deletions(-) diff --git a/Variables.md b/Variables.md index 53e3d83..d994f01 100644 --- a/Variables.md +++ b/Variables.md @@ -27,65 +27,35 @@ * Boolean: Holds either true or false values. * Sets: An unordered container of values. * Dictionaries: An key-paired values set in an unordered way. -## Object - * Python refers to anything used in a program as an object. -## Operators and expressions - * Operators are the symbols which tells the Python interpreter to do some mathematical or logical operation. -eg: -``` - >>> 2 + 3 - 5 - >>> 23 - 3 - 20 - >>> 22.0 / 12 - 1.8333333333333333 - >>> 14 % 3(modulue operator) - 2 -``` -``` -=>Relational Operators -< Is less than -<= Is less than or equal to -> Is greater than ->= Is greater than or equal to -== Is equal to -!= Is not equal to - >>> 1 < 2 - True - >>> 3 > 34 - False - >>> 23 == 45 - False - >>> 34 != 323 - True -``` -## Logical Operators - * To do logical AND , OR we use and ,*or* keywords. x and y returns False if x is False else it returns evaluation of y. If x is True, it returns True. -eg: +### Keywords +The following identifiers are used as reserved words, or keywords of the language, and cannot be used as ordinary identifiers. They must be typed exactly as written here: ``` - >>> 1 and 4 - 4 - >>> 1 or 4 - 1 - >>> -1 or 4 - -1 - >>> 0 or 4 - 4 +False class finally is return +None continue for lambda try +True def from nonlocal while +and del global not with +as elif if or yield +assert else import pass +break except in raise ``` -=>Shorthand Operator - * x op= expression is the syntax for shorthand operators. It will be evaluated like x = x op expression -eg: + +## Object + * Python refers to anything used in a program as an object. +## Multiple Assignment +With Python, you can assign one single value to several variables at the same time. This lets you initialize several variables at once, which you can reassign later in the program yourself, or through user input. + +Through multiple assignment, you can set the variables x, y, and z to the value of the integer 0: ``` - >>> a = 12 - >>> a += 13 (equal to a = a+1) - >>> a - 25 +x = y = z = 0 +print(x) +print(y) +print(z) ``` -## Expressions - * Generally while writing expressions we put spaces before and after every operator so that the code becomes clearer to read, like -eg: +Output ``` - a = 234 * (45 - 56.0 / 34) +0 +0 +0 ``` ## Conversions * Convert from one type to another type From 141bea98a2f402b270f5db00c48d340ea01b03a1 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 00:28:56 +0530 Subject: [PATCH 064/105] Add files via upload --- indexing.png | Bin 0 -> 26579 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 indexing.png diff --git a/indexing.png b/indexing.png new file mode 100644 index 0000000000000000000000000000000000000000..30dd3b1329362cc5f1e2428b1ff5cde6a87aebe4 GIT binary patch literal 26579 zcmeFZX*iYr+dq0`j6@Ns%t>XYGS4Js%q+^7$QVNAA%s*?D4C+rU`UxNV@QZnl4L58 zS(!5K&+7i|=lT7Q|K9u9&x`$HAIERKxbMoc*0sLZ_j{h7>0HrzI!89s?xZCMV)IcA zHGP60%f+8xY$U^fWyzWg@V`rbhNfQn);?VB9&YxI&ZoJ&F1VlOI_>LdPY}M{Mpw*f zUx{u!yneD?uqJn==#Gv?rtHYCBS)j!e`hAevR%Ajxi=stlHz^qAw#kFYZ<%4zlCkx zW&JSKbH>^Amcys&r(u!1-YDG2S?@4AsmpX=LdHw4+fiI>NbtB>QST)oX||-uzEz(W zL(}9sj|CrQZxxs%2wEyfT$8D`mW-{Ni?Fqwo6TuqUl(^=EJ4UA`np@&I-U07vN?Um z(N&&j>Uk9pm!q9LkI5lzQEhkC(+-XrejcX{{B#U${hVy2?RXRwXytrm@B%KUy{x%> zU7TG#Wqjp%{=TjZ{!IF35gx9;Pw{e+=P}jR<5G3=IL&oX_@J<;&|zOkZ*d+4S}r*c zJ9`;@HT8eJ1pX$^%i34S z)pIxLCH{F0wbP!q9**u_j&818q}Q~zaXarN&%=YCbN%bZN$dY#ukPykuSLLeh>(6F zA|@;<^6yXgasH|Iw5Gv%CJYT>qmL_#Zv_KfCMyU&}@N z-{9`FD-fLzpj$rwmu-N3!1pCGu1qiV{AzTM+5eJl(c7Z&BeSp9rS zW9mTm{)TIG%*jG7TB^h0xw)*GYR;FA3l<&DY6#1vQO+`Th@lkR7|#}t@N26Ez%SU=?q&oQjmoz1#oUT&dl}q&lHOI zJO0SKxb^RkxN5GF{z^ec6GVC@*A|WG-T(Yj80X(7QZTOk^TccYNB*B*;{Wv%|LeWV zl+=wv-u3pTB_)08?4%+@4<7u`-p-Y4&BV}9aNoXucPX3wkvDG|X=}$lcyQLyaeth8T@~@<$&8qou}SOe>x;|ErnC(=zj<@Q+?;761yS92l`}RbreB(mk8gBz)Ex`DWjjTU z?!xoaQ@t-4I2D|ooSYmTLjx=B++n+UjCnlsc1ntwV4_Csxuw~kN3L>2T)gHA9r+hWziHYN zV`hG4T}P!Hr+4a9ng(y}ZSI7oH*em!D~8up8=79YaDo43cUwcb?~Dym9k)yJ?%lgT z-lhs9Zdc}s=hIDl;Wsz>`t|EPgB*nmzrK%teAsoICqDP#Lnj-XUrTdNJn;^$u4{`k zw!%pdA3btDbH>Ef)YRNu*0rY$mvR02_5B9->3&TfS5c{b|6bq7=vhU@(%0ucdj6V6 zk7nxUUAb~aBOsvj0bc@c+WGV6XkHzG-TT+i~E2QBl#|yS25oVd_~ggV)n)tY$m1OP)QudGqGP$cTov zb_DyuP^D_WiFa8?mjC>@b^G?4*RT86PsPNWUAR{xA;fckI|P#*G(OR#pZF2RD3R`0(*# zCX2>B{lI_#tGq&8svy4P>9M7O+49~(^VNmEU^SkiM~?&r1Y+xL$}1{@CR?_PoH{5e z`Q`KHyu3Ubj=>pU-84CC@mmyR%9fUWU0r1z@2D9#0*V?gsqsXsy?Oh#w=!_~&+p-* zyo?blTjerKN=okCqg2=$NsTWfrc-j?t#H{+RJyUtO?V@7t8r zEF>tH-SM++RD_6x=#)WPRYSex8MJQmeh@ zv17mftTZL;T`<@ly1>gAEyvOJ{ypQ^l-=pm1CcLZzI^uVS#~yW=hbgbxyQ4f6c-Pa zq@|@@Q|#>N33zj3f7o74P0fYk6$-Kqy~;S^=H}1a-Z#H`mEGaQ9Izd4`s2qBIgYC; znHm}z)j8OgRw5M{8ARIn(9m4@^2W7O2M!d6vft-njLy+X4RbmFts!nvGWw8Hr(WKN zlh3_tYMr~E=0zR2Ajfg@Sj3XSCsn*rr)N%9Wo4zMvmDg}$zrym%d|wbeX*yfrvN`c)dM;$z60{|^1FA}efZ$@qvh71-)=dMg1dKlxVgC{ zCAZV8)x_SoapT2{7hz$wR{Q9%z17_I?%PHyVamUMzqFq2_}M2)OVXlWbSWrHrmv@9 zKje4WiJP_m&MFO&$tz^-f&dw4irlH?|PMkO)r6G%hf%~JY+eX90w{f&F zK%wvL+beYg)ivSy%hZK*pFe-bTE$}HKKFji8rSsw`*#$-=w@YF#hNOVcc)MJ%BmNY zxE!3Ebni%sadBmo+IyWlSM>1V*sr1HQs>V+E8JM-Mc2^xhWh$X%vhmCu{w9a=JNL>;CjYQE90NKfjFU4>}^GZea1xpE!2ek}=Zt zDsfQ^%=kWj{CM!h+V5wg*TNOM%4qKx;{fbdzr1hXJ_iSf*G)}DB_%qVnke9As;c1; z5fRUy%l=q8Zf3TFle5iA^wFb7Y;0@xAc)qJ*rk=30|0^m&_>O zi&lHz*-1}J>*3`^M^CR1y!Ij~De2ZNGxR}%OGv1-z1_XzzV`G*Y%!yU#(BB9WzV0J z6AvCf9C&<%Q<0w7BKQ5iFG9?%cUEKkmoATUxaC{Tz@lu&g3o##86d;=Z{kYQ*$l{U)Ni z?A*7(Z{L!H%_qF3 z^&Ss#3O;%ABr`Mfo;`c6a>&yX8d_Q{&CTIXGODVo>GJ-GiHQ=n4VO3XlCUbRH4dni z+7%Yn`N)j?(P;ytt@^nK9er(8QC^`=JaXo`+$RtFW3mt({FAluCM%lb5lUlwFi5P zRUtsi@AF@{c1dko_m=qSw|7u=WV$$56SME%r&^0WJc*6Cw6t{V)~#auRx;vML&N0P z=O)v}@&)p9b8|PZUq9>MkgO0`5gFO=;==Fhb+XH*Cr;#>mrmxS2YLATOzmu>C9Nj; zrtliywH4`Kx$Bh_iY$S7W3lOS7sLrJetudGegT1RzyAP^&CkyRsnplkpF4LhMbeFm zuz2phd5Nm_fLJW2ItQ~H1)+ERxLJkQ{+?4sHk5Loo0@2Pa~?gSqvzMUBem6)1VmNT zrvI#*dfcNPuqljl(+AJx`3aqZK0Krr)-{@~e>tv$Jq9*x^sH#ax$-Md%h#M6CZV&^8hp9!)EpoMgF zFcF3JtvkhUjsN)J{rz=(x#w_i*}2_3JY<9tUjn+~X*)Z54!K;^Ai$8!Om5$ey`Rxb zKINY@FLh-Xv!UoY0C@TOwMJlIAYX#nsZ*79P1i?89NrBj(`?#QTvBr7^5sXlxzh^^ zz?_dBKW6?kb}^GtTT2V|=#^1qLxVasbyRhAb#89%E=kvxG z3%`FK5Eu7bm`p8uu!ooTJJztb_{`NZT6cVi^x(BW045Nb@o?*_WHvea07rqG90gWO zTYDzh&%mGqI~pj2?(gIB<;wv90RZ1KB26e1_*6q^B|}5y7D>H!1lDD*l@CL&7&#%*pmV0h#rOBK>%PHK0yArMD;o%USi01?LA0lKp@X8Lg>8Gx%02e5xs28U|2!)s4Edia zitO3FJIk#qtZsmH$Bw)Q4<`Gn)?Y<4p|zq@jGOPEXOkibjbq0~zYO8L0eXWW)zxL? 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Subject: [PATCH 065/105] Create Strings.md --- Strings.md | 143 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 Strings.md diff --git a/Strings.md b/Strings.md new file mode 100644 index 0000000..01c555b --- /dev/null +++ b/Strings.md @@ -0,0 +1,143 @@ +# Strings +A string is an ordered sequence of characters. Here are a few characteristics of strings: + * A string has a length. Get the length with the len() built-in function. + * A string is indexable. Get a single character at a position in a string with the square bracket operator, for example mystring[5]. + * You can retrieve a slice (sub-string) of a string with a slice operation, for example mystring[5:8]. + * Create strings with single quotes or double quotes. + + 3.4.3.2 Operators on strings + +You can concatenate strings with the "+" operator. + +You can create multiple concatenated copies of a string with the "*" operator. + +And, augmented assignment (+= and *=) also work. + +Examples: + +>>> 'cat' + ' and ' + 'dog' +'cat and dog' +>>> '#' * 40 +'########################################' +>>> +>>> s1 = 'flower' +>>> s1 += 's' +>>> s1 +'flowers' + +## Repetition +The next operator we can apply to a string is the repetition operator (*). + +``` +>>> 'go'*3 +'gogogo' +>>> 'go'*3+'twins'*2 +'gogogotwinstwins' +>>> 'go'*3+' twins'*2 +'gogogo twins twins' +>>> +``` + + +## The in operator +The word in is a boolean operator that takes two strings and returns True if the first appears as a substring in the second: +``` +>>>'a' in 'banana' +True +>>>'seed' in 'banana' +False +``` +## format method + * Sometimes we may want to construct strings from other information. This is where the format() method is useful. + * A string can use certain specifications and subsequently, the format method can be called to substitute those specifications with corresponding arguments to the format method. + +``` + age = 20 + name = 'Danny' + print('{0} was {1} years old when he wrote this book'.format(name, age)) + print('Why is {0} playing with that python?'.format(name)) +``` +output: +``` + $ python str_format.py + Danny was 20 years old when he wrote this book + Why is Danny playing with that python? +``` + +## Escape Sequences + * Suppose, you want to have a string which contains a single quote ('), how will you specify this string? For example, the string is "What's your name?". You cannot specify 'What's your name?' because Python will be confused as to where the string starts and ends. So, you will have to specify that this single quote does not indicate the end of the string. This can be done with the help of what is called an escape sequence. + * you can specify the string as 'What\'s your name?' or "What's your name?" + * the newline character - \n + +``` + 'This is the first line\nThis is the second line' +``` +output: +``` + "This is the first line. + This is the second line" +``` +The tab: \t + +eg: +``` + 'This is the first line\t\t\t\t\tThis is the second line' +``` +output: +``` + "This is the first line This is the second line" +``` +The lists of Escape Characters in Python are: + +* \a: alert +* \b: backspace +* \cx: Control X +* \e: escape +* \f: Form feed +* \n: New line or next line +* \r: carriage return +* \s: space +* \t: tab +* \v: Vertical Tab + +``` +## Strings are immutable +It is temp +ting to use the operator on the left side of an assignment, with the intention of changing a character in a string. For example: +``` +>>> greeting = 'Hello, world!' +>>> greeting[0] = 'J' +TypeError : 'str' object does not support item assignment +``` + +## Indexing +We next examine the index operator [] , an operator that has no mathematical counterpart. +This operator is useful when we want to get at particular characters in a string. + + +![Indexing](indexing.png) + +``` +>>> +>>> name = "Venkata Teja" +>>> first = name[0] +>>> first +'V' +>>> second = name[8] +>>> second +'T' +>>> +``` +## Slicing +The slice operator [ : ] is similar to the index operator except that it can get multicharacter +parts of the string. + +``` +>>> name = "Venkata Teja" +>>> name[0:6] +'Venkat' +>>> name[8:] +'Teja' + +``` + From b2d2de444e7924897b3832e665875b0e127aa714 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 00:42:18 +0530 Subject: [PATCH 066/105] Update Strings.md --- Strings.md | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/Strings.md b/Strings.md index 01c555b..a6fee93 100644 --- a/Strings.md +++ b/Strings.md @@ -5,16 +5,12 @@ A string is an ordered sequence of characters. Here are a few characteristics of * You can retrieve a slice (sub-string) of a string with a slice operation, for example mystring[5:8]. * Create strings with single quotes or double quotes. - 3.4.3.2 Operators on strings - +## Operators on strings You can concatenate strings with the "+" operator. - You can create multiple concatenated copies of a string with the "*" operator. - And, augmented assignment (+= and *=) also work. - Examples: - +``` >>> 'cat' + ' and ' + 'dog' 'cat and dog' >>> '#' * 40 @@ -24,7 +20,7 @@ Examples: >>> s1 += 's' >>> s1 'flowers' - +``` ## Repetition The next operator we can apply to a string is the repetition operator (*). From bfd1d1c37a55302c8547602ba2e536c0b8838da3 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 00:44:25 +0530 Subject: [PATCH 067/105] Update Strings.md --- Strings.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/Strings.md b/Strings.md index a6fee93..bf11e2f 100644 --- a/Strings.md +++ b/Strings.md @@ -84,7 +84,7 @@ output: "This is the first line This is the second line" ``` The lists of Escape Characters in Python are: - +``` * \a: alert * \b: backspace * \cx: Control X @@ -95,7 +95,6 @@ The lists of Escape Characters in Python are: * \s: space * \t: tab * \v: Vertical Tab - ``` ## Strings are immutable It is temp From 03b4825c6dd39879efa4aed276cf928ded35e99b Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 21:40:59 +0530 Subject: [PATCH 068/105] Update Collections.md --- Collections.md | 449 ++++++++++++++++++++++--------------------------- 1 file changed, 205 insertions(+), 244 deletions(-) diff --git a/Collections.md b/Collections.md index 5856213..2640c9a 100644 --- a/Collections.md +++ b/Collections.md @@ -1,12 +1,12 @@ # Collections -Lists are a container data type that acts as a dynamic array. -The Python list type is called list. It is a type of sequence – we can use it to store multiple values, and access them sequentially, by their position, or index, in the list. We define a list literal by putting a comma-separated list of values inside square brackets ([ and ]): - -A list has a (current) length -- Get the length of a list with len(mylist). -A list has an order -- The items in a list are ordered, and you can think of that order as going from left to right. -A list is heterogeneous -- You can insert different types of objects into the same list. -Lists are mutable, +## List + * Lists are a container data type that acts as a dynamic array. + * The Python list type is called list. It is a type of sequence – we can use it to store multiple values, and access them sequentially, by their position, or index, in the list. We define a list literal by putting a comma-separated list of values inside square brackets ([ and ]): + * A list has a (current) length -- Get the length of a list with len(mylist). + * A list has an order -- The items in a list are ordered, and you can think of that order as going from left to right. + * A list is heterogeneous -- You can insert different types of objects into the same list. + * Lists are mutable, ``` # a list of strings @@ -22,120 +22,120 @@ my_list = [] things = [ one_variable, another_variable, - third_variable, # this trailing comma is legal in Python - - - - -]Contents - -Lists -Quick example -Difference between append() and extend() -Other list methods -Operators -Slicing -List comprehension -Filtering Lists -Lists as Stacks -Lists as Queues -How to copy a list -In python, lists are part of the standard language. You will find them everywhere. Like almost everything in Python, lists are objects. There are many methods associated to them. Some of which are presented here below. - -4.1.1. Quick example + third_variable] +``` + +eg: +``` >>> l = [1, 2, 3] >>> l[0] 1 >>> l.append(1) >>> l [1, 2, 3, 1] -4.1.2. Difference between append() and extend() +``` + +## Built in methods in List +### Difference between append() and extend() + Lists have several methods amongst which the append() and extend() methods. The former appends an object to the end of the list (e.g., another list) while the later appends each element of the iterable object (e.g., anothee list) to the end of the list. For example, we can append an object (here the character ‘c’) to the end of a simple list as follows: - +``` >>> stack = ['a','b'] >>> stack.append('c') >>> stack ['a', 'b', 'c'] +``` However, if we want to append several objects contained in a list, the result as expected (or not...) is: - +``` >>> stack.append(['d', 'e', 'f']) >>> stack ['a', 'b', 'c', ['d', 'e', 'f']] -The object ['d', 'e', 'f'] has been appended to the exiistng list. However, it happens that sometimes what we want is to append the elements one by one of a given list rather the list itself. You can do that manually of course, but a better solution is to use the extend() method as follows: +``` +The object ['d', 'e', 'f'] has been appended to the exiistng list. However, it happens that sometimes what we want is to append the elements one by one of a given list rather the list itself. You can do that manually of course, but a better solution is to use the extend() method as follows: +``` >>> stack = ['a', 'b', 'c'] >>> stack.extend(['d', 'e','f']) >>> stack ['a', 'b', 'c', 'd', 'e', 'f'] -4.1.3. Other list methods -4.1.3.1. index +``` +## Other list methods +### index The index() methods searches for an element in a list. For instance: - +``` >>> my_list = ['a','b','c','b', 'a'] >>> my_list.index('b') 1 +``` It returns the index of the first and only occurence of ‘b’. If you want to specify a range of valid index, you can indicate the start and stop indices: - +``` >>> my_list = ['a','b','c','b', 'a'] >>> my_list.index('b', 2) 3 +``` Warning if the element is not found, an error is raised -4.1.3.2. insert +### insert You can remove element but also insert element wherever you want in a list: - +``` >>> my_list.insert(2, 'a') >>> my_list ['b', 'c', 'a', 'b'] +``` The insert() methods insert an object before the index provided. -4.1.3.3. remove +### remove Similarly, you can remove the first occurence of an element as follows: - +``` >>> my_list.remove('a') >>> my_list ['b', 'c', 'b', 'a'] -4.1.3.4. pop +``` +### pop Or remove the last element of a list by using: - +``` >>> my_list.pop() 'a' >>> my_list ['b', 'c', 'b'] +```` which also returns the value that has been removed. -4.1.3.5. count +### count You can count the number of element of a kind: - +``` >>> my_list.count('b') 2 -4.1.3.6. sort +``` +### sort There is a sort() method that performs an in-place sorting: - +``` >>> my_list.sort() >>> my_list ['a', 'b', 'b', 'c'] -Here, it is quite simple since the elements are all characters. For standard types, the sorting works well. Imagine now that you have some non-standard types. You can overwrite the function used to perform the comparison as the first argument of the sort() method. +``` There is also the possiblity to sort in the reverse order: - +``` >>> my_list.sort(reverse=True) >>> my_list ['c', 'b', 'b', 'a'] -4.1.3.7. reverse +``` +### reverse Finally, you can reverse the element in-place: - +``` >>> my_list = ['a', 'c' ,'b'] >>> my_list.reverse() >>> my_list ['b', 'c', 'a'] -4.1.4. Operators +``` +### Operators The + operator can be used to extend a list: - +``` >>> my_list = [1] >>> my_list += [2] >>> my_list @@ -143,15 +143,19 @@ The + operator can be used to extend a list: >>> my_list += [3, 4] >>> my_list [1, 2, 3, 4] +``` + The * operator ease the creation of list with similar values +``` >>> my_list = [1, 2] >>> my_list = my_list * 2 >>> my_list [1, 2, 1, 2] -4.1.5. Slicing +``` +### Slicing Slicing uses the symbol : to access to part of a list: - +``` >>> list[first index:last index:step] >>> list[:] >>> a = [0, 1, 2, 3, 4, 5] @@ -162,8 +166,9 @@ Slicing uses the symbol : to access to part of a list: [0, 1] >>> a[2:-1] [2, 3, 4] +``` By default the first index is 0, the last index is the last one..., and the step is 1. The step is optional. So the following slicing are equivalent: - +``` >>> a = [1, 2, 3, 4, 5, 6, 7, 8] >>> a[:] [1, 2, 3, 4, 5, 6, 7, 8] @@ -171,32 +176,37 @@ By default the first index is 0, the last index is the last one..., and the step [1, 2, 3, 4, 5, 6, 7, 8] >>> a[0::1] [1, 2, 3, 4, 5, 6, 7, 8] -4.1.6. List comprehension +``` +### List comprehension Traditionally, a piece of code that loops over a sequence could be written as follows: - +``` >>> evens = [] >>> for i in range(10): ... if i % 2 == 0: ... evens.append(i) >>> evens [0, 2, 4, 6, 8] +``` This may work, but it actually makes things slower for Python because the interpreter works on each loop to determine what part of the sequence has to be changed. A list comprehension is the correct answer: - +``` >>> [i for i in range(10) if i % 2 == 0] [0, 2, 4, 6, 8] +``` Besides the fact that it is more efficient, it is also shorter and involves fewer elements. -4.1.7. Filtering Lists +### Filtering Lists +``` >>> li = [1, 2] >>> [elem*2 for elem in li if elem>1] [4] -4.1.8. Lists as Stacks +``` +### Lists as Stacks The Python documentation gives an example of how to use lists as stacks, that is a last-in, first-out data structures (LIFO). An item can be added to a list by using the append() method. The last item can be removed from the list by using the pop() method without passing any index to it. - +``` >>> stack = ['a','b','c','d'] >>> stack.append('e') >>> stack.append('f') @@ -206,9 +216,10 @@ An item can be added to a list by using the append() method. The last item can b 'f' >>> stack ['a, 'b', 'c', 'd', 'e'] -4.1.9. Lists as Queues +``` +### Lists as Queues Another usage of list, again presented in Python documentation is to use lists as queues, that is a first in - first out (FIFO). - +``` >>> queue = ['a', 'b', 'c', 'd'] >>> queue.append('e') >>> queue.append('f') @@ -216,19 +227,19 @@ Another usage of list, again presented in Python documentation is to use lists a ['a', 'b', 'c', 'd', 'e', 'f'] >>> queue.pop(0) 'a' -4.1.10. How to copy a list +``` +### How to copy a list There are three ways to copy a list: - +``` >>> l2 = list(l) >>> l2 = l[:] >>> import copy >>> l2 = copy.copy(l) +``` Warning - Don’t do l2 = l, which is a reference, not a copy. - The preceding techniques for copying a list create shallow copies. IT means that nested objects will not be copied. Consider this example: - +``` >>> a = [1, 2, [3, 4]] >>> b = a[:] >>> a[2][0] = 10 @@ -236,8 +247,9 @@ The preceding techniques for copying a list create shallow copies. IT means that [1, 2, [10, 4]] >>> b [1, 2, [10, 4]] +``` To get around this problem, you must perform a deep copy: - +``` >>> import copy >>> a = [1, 2, [3, 4]] >>> b = copy.deepcopy(a) @@ -246,17 +258,19 @@ To get around this problem, you must perform a deep copy: [1, 2, [10, 4]] >>> b [1, 2, [3, 4]] -4.1.10.1. Inserting items into a sorted list +``` +### Inserting items into a sorted list The bisect module provides tools to manipulate sorted lists. - +``` >>> x = [4, 1] >>> x.sort() >>> import bisect >>> bisect.insort(x, 2) >>> x [1, 2, 4] +``` To know where the index where the value would have been inserted, you could have use: - +``` >>> x = [4, 1] >>> x.sort() >>> import bisect @@ -264,50 +278,53 @@ To know where the index where the value would have been inserted, you could have 2 ``` -Contents -Tuples -Constructing tuples -Tuple methods -Interests of tuples -Misc + +# Tuples In Python, tuples are part of the standard language. This is a data structure very similar to the list data structure. The main difference being that tuple manipulation are faster than list because tuples are immutable. -4.2.1. Constructing tuples +## Constructing tuples To create a tuple, place values within brackets: - +``` >>> l = (1, 2, 3) >>> l[0] 1 +``` It is also possible to create a tuple without parentheses, by using commas: - +``` >>> l = 1, 2 >>> l (1, 2) +``` If you want to create a tuple with a single element, you must use the comma: - +``` >>> singleton = (1, ) +``` You can repeat a tuples by multiplying a tuple by a number: - +``` >>> (1,) * 5 (1, 1, 1, 1, 1) +``` Note that you can concatenate tuples and use augmented assignement (*=, +=): - +``` >>> s1 = (1,0) >>> s1 += (1,) >>> s1 (1, 0, 1) -4.2.2. Tuple methods +``` +## Tuple methods Tuples are optimised, which makes them very simple objects. There are two methods available only: index, to find occurence of a value count, to count the number of occurence of a value +``` >>> l = (1,2,3,1) >>> l.count(1) 2 >>> l.index(2) 1 -4.2.3. Interests of tuples +``` +## Interests of tuples So, Tuples are useful because there are faster than lists @@ -315,192 +332,207 @@ protect the data, which is immutable tuples can be used as keys on dictionaries In addition, it can be used in different useful ways: -4.2.3.1. Tuples as key/value pairs to build dictionaries +## Tuples as key/value pairs to build dictionaries +``` >>> d = dict([('jan', 1), ('feb', 2), ('march', 3)]) >>> d['feb'] 2 -4.2.3.2. signing multiple values +``` + +## signing multiple values +``` >>> (x,y,z) = ('a','b','c') >>> x 'a' >>> (x,y,z) = range(3) >>> x 0 -4.2.3.3. Tuple Unpacking +``` +## Tuple Unpacking Tuple unpacking allows to extract tuple elements automatically is the list of variables on the left has the same number of elements as the length of the tuple - +``` >>> data = (1,2,3) >>> x, y, z = data >>> x 1 -4.2.3.4. Tuple can be use as swap function +``` +## Tuple can be use as swap function This code reverses the contents of 2 variables x and y: - +``` >>> (x,y) = (y,x) +``` Warning - Consider the following function: - +``` def swap(a, b): (b, a) = (a, b) +``` then: - +``` a = 2 b = 3 swap(a, b) #a is still 2 and b still 3 !! a and b are indeed passed by value not reference. -4.2.4. Misc -4.2.4.1. length -To find the length of a tuple, you can use the len() function: +``` +## length +To find the length of a tuple, you can use the len() function: +``` >>> t= (1,2) >>> len(t) 2 -4.2.4.2. Slicing (extracting a segment) +``` +## Slicing (extracting a segment) +``` >>> t = (1,2,3,4,5) >>> t[2:] (3, 4, 5) -4.2.4.3. Copy a tuple +``` +## Copy a tuple To copy a tuple, just use the assignement: - +``` >>> t = (1, 2, 3, 4, 5) >>> newt = t >>> t[0] = 5 >>> newt (1, 2, 3, 4, 5) +``` Warning You cannot copy a list with the = sign because lists are mutables. The = sign creates a reference not a copy. Tuples are immutable therefore a = sign does not create a reference but a copy as expected. -4.2.4.4. Tuple are not fully immutable !! +## Tuple are not fully immutable !! If a value within a tuple is mutable, then you can change it: - +``` >>> t = (1, 2, [3, 10]) >>> t[2][0] = 9 >>> t (1, 2, [9, 10]) -4.2.4.5. Convert a tuple to a string +``` +## Convert a tuple to a string You can convert a tuple to a string with either: - +``` >>> str(t) or >>> `t` -4.2.4.6. math and comparison +``` +## math and comparison comparison operators and mathematical functions can be used on tuples. Here are some examples: - +``` >>> t = (1, 2, 3) >>> max(t) 3 +``` -.3. Dicts¶ -Contents - -Dicts -Quick example -Methods to query information -Methods to create new dictionary -iterators -Views -comparison -4.3.1. Quick example -A dictionary is a sequence of items. Each item is a pair made of a key and a value. Dictionaries are not sorted. You can access to the list of keys or values independently. +# Dicts +A dictionary is a sequence of items. Each item is a pair made of a key and a value. Dictionaries are not sorted. You can access to the list of keys or values independently. +``` >>> d = {'first':'string value', 'second':[1,2]} >>> d.keys() ['first', 'second'] >>> d.values() ['string value', [1, 2]] +``` You can access to the value of a given key as follows: - +``` >>> d['first'] 'string value' +``` Warning - You can not have duplicate keys in a dictionary - -Warning - dictionary have no concept of order among elements -4.3.2. Methods to query information +## Methods to query information In addition to keys and values methods, there is also the items method that returns a list of items of the form (key, value). The items are not returned in any particular order: - +``` >>> d = {'first':'string value', 'second':[1,2]} >>> d.items() [('a', 'string value'), ('b', [1, 2])] +``` The iteritems method works in much the same way, but returns an iterator instead of a list. See iterators section for an example. - You can check for the existence of a specific key with has_key: - +``` >>> d.has_key('first') True +``` The expression d.has_key(k) is equivalent to k in d. The choice of which to use is largely a matter of taste. In order to get the value corresponding to a specific key, use get or pop: - +``` >>> d.get('first') # this method can set an optional value, if the key is not found 'string value' +``` It is useful for things like adding up numbers: - +``` sum[value] = sum.get(value, 0) + 1 -See also - -setdefault, collections +``` +## setdefault, collections The difference between get and pop is that pop also removes the corresponding item from the dictionary: - +``` >>> d.pop('first') 'string value' >>> d {'second': [1, 2]} +``` Finally, popitem removes and returns a pair (key, value); you do not choose which one because a dictionary is not sorted - +``` >>> d.popitem() ('a', 'string value') >>> d {'second': [1, 2]} -4.3.3. Methods to create new dictionary -Since dictionaries (like other sequences) are objects, you should be careful when using the affectation sign: +``` +## Methods to create new dictionary +Since dictionaries (like other sequences) are objects, you should be careful when using the affectation sign: +``` >>> d1 = {'a': [1,2]} >>> d2 = d1 >>> d2['a'] = [1,2,3,4] >>> d1['a] [1,2,3,4] +``` To create a new object, use the copy method (shallow copy): - +``` >>> d2 = d1.copy() +``` See also - +``` copy.deepcopy() - +``` You can clear a dictionary (i.e., remove all its items) using the clear() method: - +``` >>> d2.clear() {} +``` The clear() method deletes all items whereas del() deletes just one: - +``` >>> d = {'a':1, 'b':2, 'c':3} >>> del d['a'] >>> d.clear() +``` Create a new item with default value (if not provided, None is the default): - +``` >>> d2.setdefault('third', '') >>> d2['third'] '' +``` Create a dictionary given a set of keys: - +``` >>> d2.fromkeys(['first', 'second']) +``` another syntax is to start from an empty dictionary: - +``` >>> {}.fromkeys(['first', 'second']) {'first': None, 'second': None} +``` Just keep in ,ind thqt the fromkeys() method creates a new dictionary with the given keys, each with a default corresponding value of None. -4.3.3.1. Combining dictionaries +## Combining dictionaries Given 2 dictionaries d1 and d2, you can add all pairs of key/value from d2 into d1 by using the update method (instead of looping and assigning each pair yourself: - +``` >>> d1 = {'a':1} >>> d2 = {'a':2; 'b':2} >>> d1.update(d2) @@ -508,11 +540,12 @@ Given 2 dictionaries d1 and d2, you can add all pairs of key/value from d2 into 2 >>> d2['b'] 2 +``` The items in the supplied dictionary are added to the old one, overwriting any items there with the same keys. -4.3.4. iterators +## iterators Dictionary provides iterators over values, keys or items: - +``` >>> [x for x in t.itervalues()] ['string value', [1, 2]] >>> @@ -520,25 +553,19 @@ Dictionary provides iterators over values, keys or items: ['first', 'csecond'] >>> [x for x in t.iteritems()] [('a', 'string value'), ('b', [1, 2])] -See also - -Iterators - -4.3.5. Views +``` +## Views viewkeys, viewvalues, viewitems are set-like objects providing a view on D’s keys, values or items. -4.3.6. comparison +# comparison you can compare dictionaries! Python first compares the sorted key-value pairs. It first sorts dictionaries by key and comapre their initial items. If the items hae different values, Python figures out the comparison between them. Otherwise, the second items are compared and so on. -Contents -Sets -Quick example -Ordering -Operators -Sets are constructed from a sequence (or some other iterable object). Since sets cannot have duplicated, there are usually used to build sequence of unique items (e.g., set of identifiers). +## Sets +Sets are constructed from a sequence (or some other iterable object). Since sets cannot have duplicated, there are usually used to build sequence of unique items (e.g., set of identifiers). +``` 4.5.1. Quick example >>> a = set([1, 2, 3, 4]) >>> b = set([3, 4, 5, 6]) @@ -552,16 +579,17 @@ False {1, 2} >>> a ^ b # Symmetric Difference {1, 2, 5, 6} +``` Note the intersection, subset, difference and symmetric difference can be be called with method rather that symbols. See below for examples. -4.5.2. Ordering +## Ordering Just as with dictionaries, the ordering of set elements is quite arbitrary, and shouldn’t be relied on. -4.5.3. Operators +## Operators As mentionned in the quick example section, each operator is associated to a symbol (e.g., &) and a method name (e.g. union). - +``` >>> a = set([1, 2, 3]) >>> b = set([2, 3, 4]) >>> c = a.intersection(b) # equivalent to c = a & b @@ -583,110 +611,43 @@ set([1]) set([1, 4]) >>> a ^ b set([1, 4]) +``` You can also copy a set using the copy method: - +``` >>> a.copy() set([1, 2, 3]) - - -.6. Frozensets -Contents +``` Frozensets -Quick Example -Set of Sets -Using set as key in a dictionary -Methods Sets are mutable, and may therefore not be used, for example, as keys in dictionaries. Another problem is that sets themselves may only contain immutable (hashable) values, and thus may not contain other sets. Because sets of sets often occur in practice, there is the frozenset type, which represents immutable (and, therefore, hashable) sets. -4.6.1. Quick Example +Quick Example +``` >>> a = frozenset([1, 2, 3]) >>> b = frozenset([2, 3, 4]) >>> a.union(b) frozenset([1, 2, 3, 4]) -4.6.2. Set of Sets +``` +## Set of Sets Sets may only contain immutable (hashable) values, and thus may not contain other sets, in which case frozensets can be useful. Consider the following example: - +``` >>> a = set([1, 2, 3]) >>> b = set([2, 3, 4]) >>> a.add(b) >>> a.add(frozenset(b)) -4.6.3. Using set as key in a dictionary¶ +``` +## Using set as key in a dictionary¶ If you want to use a set as a key dictionary, you will need frozenset: - +``` >>> fa = {frozenset([1,2]): 1} >>> fa[ frozenset([1,2]) ] 1 -4.6.4. Methods +``` +### Methods frozensets have less methods than sets. - There are some operators similar to sets (intersection(), union(), symmetric_difference(), difference(), issubset(), isdisjoint(), issuperset()) and a copy() method. - -SEARCH - - Go -Enter search terms or a module, class or function name. - -This page: Show source. -TABLE OF CONTENTS -1. Quick Start / Tutorial -2. Variables, expressions, statements, types -3. Nearly everything about numbers -4. Data Structures (list, dict, tuples, sets, strings) -5. Functions -6. Print function -7. Module -8. Files -9. built-in functions -10. PYTHONPATH variable -1. Iterators -2. Generators -3. Exceptions -4. Decorators -5. Classes -6. Namespace and scoping rules -7. Packaging -8. Notes about sorting lists and dictionaries -9. Notes about booleans and logical operators -10. Notes on tricky issues in Python -11. slots -1. DATABASES in Python with dbm module -2. copy module -3. CGI module -4. getopt module -5. glob module -6. itertools -7. The os module (and sys, and path) -8. The pickle module -9. The regular expression module -10. The string module -11. The shelve module -12. shutil module -13. smtplib module -14. The md5 and sha modules -15. The temporary file module -16. The time module -17. Threading -18. Types module -19. Working with XML -20. Web Services -21. The collections module -22. The heapq module -23. Bridging other language -Changelog -TODO -Bibliography -DATABASES in Python with dbm module -readline -conditional assignements - - - - - - From 9d515b70afba137167bb37b8511ba5bb77de71e3 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 21:43:22 +0530 Subject: [PATCH 069/105] Update Collections.md --- Collections.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Collections.md b/Collections.md index 2640c9a..7c3fabf 100644 --- a/Collections.md +++ b/Collections.md @@ -640,7 +640,7 @@ Sets may only contain immutable (hashable) values, and thus may not contain othe >>> a.add(b) >>> a.add(frozenset(b)) ``` -## Using set as key in a dictionary¶ +## Using set as key in a dictionary If you want to use a set as a key dictionary, you will need frozenset: ``` >>> fa = {frozenset([1,2]): 1} From 8ae3dc266b0ac0560e6e0fadd63dc36384d90c1d Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 21:55:45 +0530 Subject: [PATCH 070/105] Update README.md --- README.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/README.md b/README.md index ab710c6..bc0887d 100644 --- a/README.md +++ b/README.md @@ -2,3 +2,22 @@ [1 Index](index.md) +## python-basics + +* [Introductions](Introduction.md) +* [Lexical matters](chap-2.md) +* [Variables](Variables.md) +* [Operators and expressions](Operators_and_expressions.md) +* [Strings](Strings.md) +* [Conditional execution](Condition.md) +* [Iteration](Iteration.md) +* [Collections](Collections.md) +* [Exception Handling](Exception_Handling.md) +* [Function](func.md) +* [Files](File_handling.md) +* [Modules](modulue.md) +* [Class](Class.md) +* [Regular Expressions](regular-expression.md) + + + From c211133b6ebc963e467891a5da6a1a96cf2edf0e Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Jan 2018 21:56:23 +0530 Subject: [PATCH 071/105] Update README.md --- README.md | 5 ----- 1 file changed, 5 deletions(-) diff --git a/README.md b/README.md index bc0887d..e92e70b 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,4 @@ # python-basics - -[1 Index](index.md) - -## python-basics - * [Introductions](Introduction.md) * [Lexical matters](chap-2.md) * [Variables](Variables.md) From 949df2599c799a0c094a9df18dc3607a814fcea9 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 15:06:53 +0530 Subject: [PATCH 072/105] Update Operators_and_expressions.md --- Operators_and_expressions.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/Operators_and_expressions.md b/Operators_and_expressions.md index cb411f3..e3f8821 100644 --- a/Operators_and_expressions.md +++ b/Operators_and_expressions.md @@ -11,14 +11,18 @@ eg: >>> 14 % 3(modulue operator) 2 ``` + +## Relational Operators ``` -=>Relational Operators < Is less than <= Is less than or equal to > Is greater than >= Is greater than or equal to == Is equal to != Is not equal to +``` +eg +``` >>> 1 < 2 True >>> 3 > 34 From 82373a99fa7922fd8ceda113a77e354c444bcfa4 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 15:10:26 +0530 Subject: [PATCH 073/105] Update Condition.md --- Condition.md | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/Condition.md b/Condition.md index c050c9a..878bf15 100644 --- a/Condition.md +++ b/Condition.md @@ -66,12 +66,11 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. ![If-condition](diagram-3.png) -![Screenshot](diagram-2.png) - ## Alternative execution(IF-ELSE) A second form of the if statement is alternative execution , in which there are two possibilities and the condition determines which one gets executed. + The syntax looks like this: ``` if x% 2 ==0 : @@ -80,8 +79,7 @@ else: print('x is odd') ``` - -diagram-2 +![Screenshot](diagram-2.png) ## Chained Condition(IF-ELIF-ELSE) @@ -95,7 +93,7 @@ elif x > y: else: print('x and y are equal') -diagram-3 +![Screenshot](diagram-3.png) ## Nested conditionals @@ -109,5 +107,5 @@ else: else: print('x is greater than y') ``` -diagram-4 +![Screenshot](diagram-4.png) From 78ae850fa152f4141e34f3d44d644e3892e141c3 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 15:13:17 +0530 Subject: [PATCH 074/105] Update Iteration.md --- Iteration.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Iteration.md b/Iteration.md index 76b4fac..b6faaac 100644 --- a/Iteration.md +++ b/Iteration.md @@ -84,7 +84,7 @@ print sum ``` -##While loop +## While loop The while statement allows you to repeatedly execute a block of statements as long as a condition is true. @@ -118,9 +118,9 @@ eg: ```` -Loop Control Statements +## Loop Control Statements -Break statement +### Break statement It is used to exit a while loop or a for loop. It terminates the looping & transfers execution to the statement next to the loop. @@ -141,7 +141,7 @@ output: 2 ``` -Continue statement +### Continue statement It causes the looping to skip the rest part of its body & start re-testing its condition. ``` @@ -164,7 +164,7 @@ output: 9 ``` -Pass Statement +### Pass Statement It is used in Python to when a statement is required syntactically and the programmer does not want to execute any code block or command. From 27e5b1a1044cc344d835bec3ee44cbffa8dedead Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:00:25 +0530 Subject: [PATCH 075/105] Update Exception_Handling.md --- Exception_Handling.md | 56 +++++++++++++++++++++---------------------- 1 file changed, 27 insertions(+), 29 deletions(-) diff --git a/Exception_Handling.md b/Exception_Handling.md index 09e9103..7dac5b6 100644 --- a/Exception_Handling.md +++ b/Exception_Handling.md @@ -6,17 +6,15 @@ Errors or mistakes in a program are often referred to as bugs. They are almost a Runtime errors Logical errors -Syntax errors +## Syntax errors Python will find these kinds of errors when it tries to parse your program, and exit with an error message without running anything. - - - leaving out a keyword - putting a keyword in the wrong place - leaving out a symbol, such as a colon, comma or brackets - misspelling a keyword - incorrect indentation - empty block +* leaving out a keyword +* putting a keyword in the wrong place +* leaving out a symbol, such as a colon, comma or brackets +* misspelling a keyword +* incorrect indentation +* empty block ``` @@ -40,33 +38,33 @@ print("Flag is set!") ``` -Runtime errors +## Runtime errors If a program is syntactically correct – that is, free of syntax errors – it will be run by the Python interpreter. Some examples of Python runtime errors: - division by zero - performing an operation on incompatible types - using an identifier which has not been defined - accessing a list element, dictionary value or object attribute which doesn’t exist - trying to access a file which doesn’t exist +* division by zero +* performing an operation on incompatible types +* using an identifier which has not been defined +* accessing a list element, dictionary value or object attribute which doesn’t exist +* trying to access a file which doesn’t exist -Logical errors +## Logical errors Logical errors are the most difficult to fix. They occur when the program runs without crashing, but produces an incorrect result. - using the wrong variable name - indenting a block to the wrong level - using integer division instead of floating-point division - getting operator precedence wrong - making a mistake in a boolean expression - off-by-one, and other numerical errors +* using the wrong variable name +* indenting a block to the wrong level +* using integer division instead of floating-point division +* getting operator precedence wrong +* making a mistake in a boolean expression +* off-by-one, and other numerical errors -How to handle exceptions? +### How to handle exceptions? We use try...except blocks to handle any exception. The basic syntax looks like @@ -83,10 +81,10 @@ except ExceptionName: It works in the following way: - First all lines between try and except statements. - If ExceptionName happens during execution of the statements then except clause statements execute - If no exception happens then the statements inside except clause does not execute. - If the Exception is not handled in the except block then it goes out of try block. +* First all lines between try and except statements. +* If ExceptionName happens during execution of the statements then except clause statements execute +* If no exception happens then the statements inside except clause does not execute. +* If the Exception is not handled in the except block then it goes out of try block. @@ -113,7 +111,7 @@ Enter a float number: Traceback (most recent call last): KeyboardInterrupt ``` -Raising exceptions +## Raising exceptions One can raise an exception using raise statement. @@ -132,7 +130,7 @@ We can catch these exceptions like any other normal exceptions. ... ValueError in our code. ``` -Using finally for cleanup +## Using finally for cleanup If we want to have some statements which must be executed under all circumstances, we can use finally clause, it will be always executed before finishing try statements. ``` From 7ec2d4e5ea623ba6bb6efff13284243f1a6d23ab Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:02:42 +0530 Subject: [PATCH 076/105] Update func.md --- func.md | 25 ------------------------- 1 file changed, 25 deletions(-) diff --git a/func.md b/func.md index 167a18f..01d0a56 100644 --- a/func.md +++ b/func.md @@ -279,31 +279,6 @@ y: 44 args: () kwargs: {'a': 55, 'b': 66} ``` - - -## DocStrings - -Python has a nifty feature called documentation strings, usually referred to by its shorter name docstrings. DocStrings are an important tool that you should make use of since it helps to document the program better and makes it easier to understand. Amazingly, we can even get the docstring back from, say a function, when the program is actually running! - -``` -def print_max(x, y): - '''Prints the maximum of two numbers. - - The two values must be integers.''' - # convert to integers, if possible - x = int(x) - y = int(y) - - if x > y: - print(x, 'is maximum') - else: - print(y, 'is maximum') - -print_max(3, 5) -print(print_max.__doc__) - -``` - ## lambda * is anonymous (does not need a name) and * contains only an expression and no statements. From 70d036d52fca66f6c2953425b4665e90184d7216 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:03:49 +0530 Subject: [PATCH 077/105] Update func.md --- func.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/func.md b/func.md index 01d0a56..da38563 100644 --- a/func.md +++ b/func.md @@ -21,13 +21,14 @@ def print_lyrics(): print("I'm a lumberjack, and I'm okay.") print('I sleep all night and I work all day.') ``` -How do you call functions in Python? -Simply write the function's name followed by (), The syntax for calling the new function +### How do you call functions in Python? +Simply write the function's name followed by (), The syntax for calling the new function +``` >>> print_lyrics() I'm a lumberjack, and I'm okay. I sleep all night and I work all day. - +``` Let us write a function which will take two integers as input and then return the sum. Example-2 From e5c46be61b952071ef6a846b3659e04c3ca93e67 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:07:38 +0530 Subject: [PATCH 078/105] Update func.md --- func.md | 41 ++++++++++++++++++++--------------------- 1 file changed, 20 insertions(+), 21 deletions(-) diff --git a/func.md b/func.md index da38563..1b22190 100644 --- a/func.md +++ b/func.md @@ -6,7 +6,7 @@ It enables us to pass values into the the function when we call it. It can returns a value (even if None). When a function is called, it has its own namespace. Variables in the function are local to the function (and disappear when the function exits -Defining a function +## Defining a function We use def keyword to define a function. General syntax is like ``` @@ -18,8 +18,8 @@ Example-1 ``` def print_lyrics(): - print("I'm a lumberjack, and I'm okay.") - print('I sleep all night and I work all day.') + print("I'm a lumberjack, and I'm okay.") + print('I sleep all night and I work all day.') ``` ### How do you call functions in Python? @@ -31,7 +31,7 @@ I sleep all night and I work all day. ``` Let us write a function which will take two integers as input and then return the sum. -Example-2 +### Example-2 ``` >>> def sum(a, b): @@ -43,7 +43,7 @@ In the second line with the return keyword, we are sending back the value of a + >>> res 8 ``` -Example-3 +### Example-3 ``` def function_name(arg1, arg2): @@ -56,7 +56,7 @@ here is an example of calling this function: result = function_name(1, 2) ``` -Default argument value +## Default argument value In a function variables may have default argument values, that means if we don’t give any value for that particular variable it will be assigned automatically. ``` @@ -78,11 +78,9 @@ True Important -Important - Remember that you can not have an argument without default argument if you already have one argument with default values before it. Like f(a, b=90, c) is illegal as b is having a default value but after that c is not having any default value. -Keyword arguments +## Keyword arguments ``` >>> def func(a, b=5, c=10): @@ -96,7 +94,7 @@ a is 12 and b is 5 and c is 24 a is -1 and b is 12 and c is 24 ``` -Example-2 +### Example-2 ``` def sumsub(a, b, c=0, d=0): return a - b + c - d @@ -132,12 +130,12 @@ def longest_side(a, b): (Passing functions as arguments -Higher-order function +## Higher-order function Higher-order function or a functor is a function which does at least one of the following step inside: - Takes one or more functions as argument. - Returns another function as output. +* Takes one or more functions as argument. +* Returns another function as output. In Python any function can act as higher order function. ``` @@ -314,11 +312,11 @@ generator A generator is a class or function that implements an iterator, i.e. that implements the iterator protocol. the iterator protocol - An object satisfies the iterator protocol if it does the following: +* An object satisfies the iterator protocol if it does the following: - It implements a `__iter__` method, which returns an iterator object. - It implements a next function, which returns the next item from the collection, sequence, stream, etc of items to be iterated over - It raises the StopIteration exception when the items are exhausted and the `next()` method is called. +* It implements a `__iter__` method, which returns an iterator object. +* It implements a next function, which returns the next item from the collection, sequence, stream, etc of items to be iterated over +* It raises the StopIteration exception when the items are exhausted and the `next()` method is called. The built-in function iter takes an iterable object and returns an iterator. ``` @@ -337,17 +335,17 @@ Traceback (most recent call last): StopIteration ``` -yield - The yield statement enables us to write functions that are generators. Such functions may be similar to coroutines, since they may "yield" multiple times and are resumed. +## yield +* The yield statement enables us to write functions that are generators. Such functions may be similar to coroutines, since they may "yield" multiple times and are resumed. Generators simplifies creation of iterators. A generator is a function that produces a sequence of results instead of a single value. - +``` def yrange(n): i = 0 while i < n: yield i i += 1 - +``` Each time the yield statement is executed the function generates a new value. ``` >>> y = yrange(3) @@ -398,3 +396,4 @@ StopIteration ``` + From 0f7a143bcdb775f1a6bec3415bcf2ceaa85e5d79 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:22:46 +0530 Subject: [PATCH 079/105] Update index.md --- index.md | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/index.md b/index.md index 7f371c7..e12c9b4 100644 --- a/index.md +++ b/index.md @@ -14,7 +14,6 @@ * Naming Variables * Keywords * Assign Multiple Variables - * Modulus opertions * String operations * Type Conversions 4. Operators and expressions @@ -36,10 +35,7 @@ * Formatting strings * Escape Characters * String Slicing - * Parsing string - * Escape Characters - * Some useful built in Functions - + 6. Conditional execution * Boolean expres * Logical operation @@ -128,9 +124,6 @@ * Database concepts * Creating a database table * closing database -17. parsing data - * json - * yaml From fbb14f592c4c95101c31af89571ebd4b348a677b Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:25:03 +0530 Subject: [PATCH 080/105] Update modulue.md --- modulue.md | 30 ++++++++++++++---------------- 1 file changed, 14 insertions(+), 16 deletions(-) diff --git a/modulue.md b/modulue.md index 4e9d056..ba467ed 100644 --- a/modulue.md +++ b/modulue.md @@ -1,52 +1,52 @@ +# Modules Modules are reusable libraries of code in Python. Python comes with many standard library modules. A module is imported using the import statement. - +``` >>> import time >>> print time.asctime() 'Fri Mar 30 12:59:21 2012' - +``` In this example, we’ve imported the time module and called the asctime function from that module, which returns current time as a string. There is also another way to use the import statement. - +``` >>> from time import asctime >>> asctime() 'Fri Mar 30 13:01:37 2012' - +``` Here were imported just the asctime function from the time module. Writing our own modules is very simple. For example, create a file called num.py with the following content. - +``` def square(x): return x * x def cube(x): return x * x * x +``` +``` - - ]== - - >>> import num +>>> import num >>> num.square(3) 9 >>> num.cube(3) 27 +``` - - - +``` """ Bars Module ============ This is an example module with provide different ways to print bars. """ + def starbar(num): """Prints a bar with * @@ -67,13 +67,11 @@ def simplebar(num): :arg num: Length of the bar """ print('-' * num) +``` - - >>> import bars +>>> import bars >>> - - >>> bars.hashbar(10) ########## >>> bars.simplebar(10) From 5e0d359680c455fe72c986788df6f0478386ee98 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Jan 2018 16:25:29 +0530 Subject: [PATCH 081/105] Update modulue.md --- modulue.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/modulue.md b/modulue.md index ba467ed..091b76a 100644 --- a/modulue.md +++ b/modulue.md @@ -67,7 +67,7 @@ def simplebar(num): :arg num: Length of the bar """ print('-' * num) -``` + >>> import bars @@ -78,7 +78,7 @@ def simplebar(num): ---------- >>> bars.starbar(10) ********** - +``` From 8f5015a46002b4456b89c23583f40e8cbd971dce Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 7 Feb 2018 08:47:54 +0530 Subject: [PATCH 082/105] Update func.md --- func.md | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/func.md b/func.md index 1b22190..d14b94d 100644 --- a/func.md +++ b/func.md @@ -130,23 +130,6 @@ def longest_side(a, b): (Passing functions as arguments -## Higher-order function - -Higher-order function or a functor is a function which does at least one of the following step inside: - -* Takes one or more functions as argument. -* Returns another function as output. - -In Python any function can act as higher order function. -``` ->>> def high(func, value): -... return func(value) -... ->>> lst = high(dir, int) ->>> print(lst[-3:]) -['imag', 'numerator', 'real'] ->>> print(lst) -``` ## Local Variables * When you declare variables inside a function definition, they are not related in any way to other variables with the same names used outside the function - i.e. variable names are local to the function. From 86c11924a65a4e2ae6cb0fd8c0f14f56e8e32bee Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Wed, 14 Feb 2018 14:43:01 +0530 Subject: [PATCH 083/105] Update Condition.md --- Condition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Condition.md b/Condition.md index 878bf15..d1ab67f 100644 --- a/Condition.md +++ b/Condition.md @@ -65,7 +65,7 @@ if x > 0: The boolean expression after the if statement is called the condition . We end the if statement with a colon character (:) and the line(s) after the if statement are indented. -![If-condition](diagram-3.png) +![If-condition](diagram-1.png) ## Alternative execution(IF-ELSE) From a09ffd210545d68c63b23a78525f769f9e90de8b Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 25 Sep 2018 17:03:34 +0530 Subject: [PATCH 084/105] Create shutil.md --- shutil.md | 45 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 shutil.md diff --git a/shutil.md b/shutil.md new file mode 100644 index 0000000..f47edb3 --- /dev/null +++ b/shutil.md @@ -0,0 +1,45 @@ +import shutil +import os +source = os.listdir("/tmp/") +destination = "/tmp/newfolder/" +for files in source: + if files.endswith(".txt"): + shutil.copy(files,destination) + + + +import shutil +shutil.copyfile('/path/to/file', '/path/to/other/phile') + + +import shutil +import os +source = os.listdir("/tmp/") +destination = "/tmp/newfolder/" +for files in source: + if files.endswith(".txt"): + shutil.move(files,destination) + +import shutil +import os +SOURCE = "samples" +BACKUP = "samples-bak" +# create a backup directory +shutil.copytree(SOURCE, BACKUP) +print os.listdir(BACKUP) + + +import shutil +shutil.rmtree('one/two/three') + + +>>> import shutil +>>> shutil.move("server.log", "server.log.backup") +>>> shutil.move("image.png", "/home/user/") + + +>>> shutil.copy("image.png", "/home/user/") + + +>>> import shutil +>>> shutil.os From 508d7212e455e73986ba493b149a1562c45b4439 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 25 Sep 2018 18:42:04 +0530 Subject: [PATCH 085/105] Create logging.txt --- logging.txt | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 logging.txt diff --git a/logging.txt b/logging.txt new file mode 100644 index 0000000..406db5f --- /dev/null +++ b/logging.txt @@ -0,0 +1,11 @@ +import logging +log = logging.getLogger(__name__) + + + log.debug('debug message') + log.info('info message') + log.warning('warning message') + log.error('error message') + log.critical('critical message') + log.log('log message') + log.exception('exception message') From 2f4c3ff2065b920428566907fe74b11109ff9522 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Tue, 25 Sep 2018 20:36:57 +0530 Subject: [PATCH 086/105] Rename shutil.md to shutil.txt --- shutil.md => shutil.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename shutil.md => shutil.txt (100%) diff --git a/shutil.md b/shutil.txt similarity index 100% rename from shutil.md rename to shutil.txt From 36725e4aaec80ac369e8370b91a5199e8567dfad Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 27 Sep 2018 18:58:43 +0530 Subject: [PATCH 087/105] Create argparse.txt --- argparse.txt | 66 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 argparse.txt diff --git a/argparse.txt b/argparse.txt new file mode 100644 index 0000000..387a94a --- /dev/null +++ b/argparse.txt @@ -0,0 +1,66 @@ +import argparse + +parser = argparse.ArgumentParser(description='Demo') +parser.add_argument('--verbose', + action='store_true', + help='verbose flag' ) + +args = parser.parse_args() + +if args.verbose: + print("~ Verbose!") +else: + print("~ Not so verbose") + + +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument('--verbose', '-v', + action='store_true', + help='verbose flag' ) + +args = parser.parse_args() + +if args.verbose: + print("~ Verbose!") +else: + print("~ Not so verbose") + + +#####positional +parser = argparse.ArgumentParser() +parser.add_argument('filename') +args = parser.parse_args() + +print("~ Filename: {}".format(args.filename)) + + + + +#nargs + +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument('nums', nargs=2) +args = parser.parse_args() + +print("~ Nums: {}".format(args.nums)) + + +parser = argparse.ArgumentParser() +parser.add_argument('nums', nargs='*') +args = parser.parse_args() + +print("~ Nums: {}".format(args.nums)) + + + +parser = argparse.ArgumentParser() +parser.add_argument('nums', nargs=2, type=int) +args = parser.parse_args() + +print("~ Nums: {}".format(args.nums)) + + From 40f7f1ad5b6758763e33c1a926b483a7eb4907e5 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Oct 2018 16:35:37 +0530 Subject: [PATCH 088/105] Create config_parser --- config_parser | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 config_parser diff --git a/config_parser b/config_parser new file mode 100644 index 0000000..c5e879b --- /dev/null +++ b/config_parser @@ -0,0 +1,17 @@ + +from configparser import ConfigParser + +parser = ConfigParser() +parser.read('database.config') + +print(parser.get('database_config', 'url')) + + +[database_config] +url = http://localhost:3306/mysql/ +username = root +; Consider hashing this password rather than +; keeping it as plain-text here +password = MY_PASSWORD + + From 58ceee042d40cec6ef5e3c3f6cab54537f2066b0 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Thu, 4 Oct 2018 17:26:33 +0530 Subject: [PATCH 089/105] Create decorators.txt --- decorators.txt | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 decorators.txt diff --git a/decorators.txt b/decorators.txt new file mode 100644 index 0000000..51296eb --- /dev/null +++ b/decorators.txt @@ -0,0 +1,23 @@ +import datetime +import time +from app_config import log + +def log_performance(func): + def wrapper(*args, **kwargs): + datetime_now = datetime.datetime.now() + log.debug(f"Function {func.__name__} being called at {datetime_now}") + start_time = time.time() + + result = func(*args, **kwargs) + + log.debug(f"Took {time.time() - start_time} seconds") + return result + return wrapper + + +@log_performance +def calculate_squares(n): + """Calculate the squares of the numbers 0 to n.""" + for i in range(n): + i_squared = i**2 + From e4efe82f6bb6203f64dc155a9c95ba8f33fd79e3 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Oct 2018 08:08:05 +0530 Subject: [PATCH 090/105] Create exercise1.md --- exercise1.md | 212 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 212 insertions(+) create mode 100644 exercise1.md diff --git a/exercise1.md b/exercise1.md new file mode 100644 index 0000000..bccb6a7 --- /dev/null +++ b/exercise1.md @@ -0,0 +1,212 @@ + + +Question: Let's start with easy things first. What will the following code produce? +``` +a = 2 +a = 4 +a = 6 +print(a + a + a) +``` + +Question: What's wrong with the following script? +``` +a = 1 +_a = 2 +_a2 = 3 +2a = 4 +``` + + +Question: Executing the code will throw an error. Can you explain why? +``` +a = 1 +b = 2 +print(a == b) +print(b == c) +``` + + +Question: Fix the last line so that it outputs the sum of 1 and 2. +``` +a = "1" +b = 2 +print(a + b) + +Expected output: + +3 +``` + +Question: Complete the script so that it prints out the second item of the list. +``` +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +print[1] +Expected output: + +b +``` +Question: Please complete the script so that it prints out a list slice containing items d , e , and f . +``` +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +Expected output: + +['d', 'e', 'f'] +``` + +Question: List slicing is important in various data manipulation activities. Let's do a few more exercises on that. +``` +Please complete the script so that it prints out the first three items of list letters. + +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +Expected output: + +['a', 'b', 'c'] +``` +Question: Complete the script so that it prints out letter i using negative indexing. +``` +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +Expected output: + +i +``` + +Question: Complete the script so that it prints out a list slice containing the last three items of list letters . +``` +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +Expected output: + +['h', 'i', 'j'] +``` +Question: Complete the script so that it prints out a list slice containing letters a, c, e, g, and i. +``` +letters = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"] + +Expected output: + +['a', 'c', 'e', 'g', 'i'] +``` + + +Create a script that generates and prints a list of numbers from 1 to 20. Please do not create the list manually. + + +Question: Complete the script so that it produces the expected output. Please use my_range as input data. +``` +my_range = range(1, 21) + + Expected output: + +[10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200] +``` + +Question: Complete the script so it generates the expected output using my_range as input data. Please note that the items of the expected list output are all strings. +``` +my_range = range(1, 21) + + Expected output: + +['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20'] +``` + + +Question: Complete the script so that it removes duplicate items from list a . +``` +a = ["1", 1, "1", 2] + +Expected output: + + ['1', 2, 1] +``` +Question: Create a dictionary that contains the keys a and b and their respective values 1 and 2 . + + + +Question: Please complete the script so that it prints out the value of key b . + +d = {"a": 1, "b": 2} + +Expected output: + +2 +Question: Calculate the sum of the values of keys a and b . +``` +d = {"a": 1, "b": 2, "c": 3} + +Expected output: + +3 +``` + +correct or wrong ? +d = {"Name": "John", "Surname": "Smith"} +print(d["Smith"]) + +Question: Add a new pair of key (e.g. c ) and value (e.g. 3 ) to the dictionary and print out the new dictionary. +``` +d = {"a": 1, "b": 2} + +Expected output: + + {'a': 1, 'c': 3, 'b': 2} + +``` + + Question: Calculate the sum of all dictionary values. +``` +d = {"a": 1, "b": 2, "c": 3} + +Expected output: + + 6 +``` + + + Question: Filter the dictionary by removing all items with a value of greater than 1. +``` +d = {"a": 1, "b": 2, "c": 3} + +Expected output: + +{'a': 1} +``` + +Create a dictionary of keys a, b, c where each key has as value a list from 1 to 10, 11 to 20, and 21 to 30 respectively. Then print out the dictionary in a nice format. + +Question: Access the third value of key b from the dictionary. +``` +from pprint import pprint + +d = dict(a = list(range(1, 11)), b = list(range(11, 21)), c = list(range(21, 31))) + +Expected output: + +13 +``` + + +Question: Please complete the script so that it prints out the expected output. +``` +d = dict(a = list(range(1, 11)), b = list(range(11, 21)), c = list(range(21, 31))) + +Expected output: + +b has value [11, 12, 13, 14, 15, 16, 17, 18, 19, 20] +c has value [21, 22, 23, 24, 25, 26, 27, 28, 29, 30] +a has value [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +``` + + +Make a script that prints out letters of English alphabet from a to z, one letter per line in the terminal. + + + + + + + + From 4e250b3683ea7edecea669b6bc71c5b6d0552e43 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Oct 2018 11:31:13 +0530 Subject: [PATCH 091/105] Update decorators.txt --- decorators.txt | 51 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/decorators.txt b/decorators.txt index 51296eb..f42de1a 100644 --- a/decorators.txt +++ b/decorators.txt @@ -1,3 +1,25 @@ + +from time import sleep + +def delayed_func(func): + """Return `func`, delayed by 10 seconds.""" + def wrapper(): + print("Waiting for ten seconds...") + sleep(10) + # Call the function that was passed in + func() + + return wrapper + + +@delayed_func +def print_phrase(): + print("Fresh Hacks Every Day") + + + + + import datetime import time from app_config import log @@ -21,3 +43,32 @@ def calculate_squares(n): for i in range(n): i_squared = i**2 + + + + + + + + import datetime +import time +from app_config import log + +def log_performance(func): + def wrapper(*args, **kwargs): + datetime_now = datetime.datetime.now() + log.debug(f"Function {func.__name__} being called at {datetime_now}") + start_time = time.time() + + result = func(*args, **kwargs) + + log.debug(f"Took {time.time() - start_time} seconds") + return result + return wrapper + + +@log_performance +def calculate_squares(n): + """Calculate the squares of the numbers 0 to n.""" + for i in range(n): + i_squared = i**2 From d4d93fed73b6f4c207d416c3ddd23b5f4e112b52 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Oct 2018 17:29:53 +0530 Subject: [PATCH 092/105] Update decorators.txt --- decorators.txt | 51 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/decorators.txt b/decorators.txt index f42de1a..41ad69d 100644 --- a/decorators.txt +++ b/decorators.txt @@ -72,3 +72,54 @@ def calculate_squares(n): """Calculate the squares of the numbers 0 to n.""" for i in range(n): i_squared = i**2 + + + +#Function with arguments + +def add_decorator(original_fn): + def decorator_fn(): + print("Hello from new") + original_fn() + return decorator_fn + +@add_decorator +def add(x, y): + print(x + y) + + + + +def add_decorator(n): + def decorator_fn(original_fn): + def wrapper_fn(*args, **kwargs): + result = original_fn(*args, **kwargs) + print(result+n) + return result + n + return wrapper_fn + return decorator_fn + +@add_decorator(2) +def add(x, y): + return x + y + + + +###uses execption handling + + +def exception_handler(original_fn): + def decorator_fn(*args, **kwargs): + try: + return original_fn(*args, **kwargs) + except Exception as err: + print(err) + return decorator_fn + +@exception_handler +def add(x, y): + sum = x + y + print(sum) + return sum + + From a5182adb44437111bd7f3cab0f3b23dd41dce76c Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Fri, 5 Oct 2018 17:32:59 +0530 Subject: [PATCH 093/105] Update decorators.txt --- decorators.txt | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/decorators.txt b/decorators.txt index 41ad69d..93cd2bf 100644 --- a/decorators.txt +++ b/decorators.txt @@ -1,4 +1,16 @@ +def hello_decorator(original_fn) + def decorator_fn(): + print("Hello from new") + original_fn() # original function must be invoked + return decorator_fn + +@hello_decorator +def hello(): + print("Hello from original") + + + from time import sleep def delayed_func(func): @@ -123,3 +135,5 @@ def add(x, y): return sum + + From 3fa15afc2a1e034f3fa298516f6086be60910616 Mon Sep 17 00:00:00 2001 From: vtejapy <34569554+vtejapy@users.noreply.github.com> Date: Mon, 8 Oct 2018 17:32:11 +0530 Subject: [PATCH 094/105] Add files via upload --- decorator05.py | 20 ++++++++++++++++++++ decorator06.py | 24 ++++++++++++++++++++++++ decorator07.py | 20 ++++++++++++++++++++ decorator08.py | 8 ++++++++ decorator09.py | 27 +++++++++++++++++++++++++++ 5 files changed, 99 insertions(+) create mode 100644 decorator05.py create mode 100644 decorator06.py create mode 100644 decorator07.py create mode 100644 decorator08.py create mode 100644 decorator09.py diff --git a/decorator05.py b/decorator05.py new file mode 100644 index 0000000..4d13024 --- /dev/null +++ b/decorator05.py @@ -0,0 +1,20 @@ +def my_decorator(some_function): + + def wrapper(): + + print("Something is happening before some_function() is called.") + + some_function() + + print("Something is happening after some_function() is called.") + + return wrapper + + +def just_some_function(): + print("Wheee!") + + +just_some_function = my_decorator(just_some_function) + +just_some_function() diff --git a/decorator06.py b/decorator06.py new file mode 100644 index 0000000..ae13945 --- /dev/null +++ b/decorator06.py @@ -0,0 +1,24 @@ +def my_decorator(some_function): + + def wrapper(): + + num = 10 + + if num == 10: + print("Yes!") + else: + print("No!") + + some_function() + + print("Something is happening after some_function() is called.") + + return wrapper + + +def just_some_function(): + print("Wheee!") + +just_some_function = my_decorator(just_some_function) + +just_some_function() diff --git a/decorator07.py b/decorator07.py new file mode 100644 index 0000000..165e82a --- /dev/null +++ b/decorator07.py @@ -0,0 +1,20 @@ +def my_decorator(some_function): + + def wrapper(): + + num = 10 + + if num == 10: + print("Yes!") + else: + print("No!") + + some_function() + + print("Something is happening after some_function() is called.") + + return wrapper + + +if __name__ == "__main__": + my_decorator() diff --git a/decorator08.py b/decorator08.py new file mode 100644 index 0000000..566782a --- /dev/null +++ b/decorator08.py @@ -0,0 +1,8 @@ +from decorator07 import my_decorator + + +@my_decorator +def just_some_function(): + print("Wheee!") + +just_some_function() diff --git a/decorator09.py b/decorator09.py new file mode 100644 index 0000000..45102fd --- /dev/null +++ b/decorator09.py @@ -0,0 +1,27 @@ +import time + + +def timing_function(some_function): + + """ + Outputs the time a function takes + to execute. + """ + + def wrapper(): + t1 = time.time() + some_function() + t2 = time.time() + return "Time it took to run the function: " + str((t2 - t1)) + "\n" + return wrapper + + +@timing_function +def my_function(): + num_list = [] + for num in (range(0, 10000)): + num_list.append(num) + print("\nSum of all the numbers: " + str((sum(num_list)))) + + +print(my_function()) From 60d0bf75b9b9ed17c16d3a18d9b6a14b4aa69134 Mon Sep 17 00:00:00 2001 From: Your Name Date: Thu, 25 Oct 2018 12:03:49 +0530 Subject: [PATCH 095/105] added mit materials --- mit-materials/MIT6_0001F16_Lec1.pdf | Bin 0 -> 823569 bytes mit-materials/MIT6_0001F16_Lec11.pdf | Bin 0 -> 547418 bytes mit-materials/MIT6_0001F16_Lec12.pdf | Bin 0 -> 2464442 bytes mit-materials/MIT6_0001F16_Lec2.pdf | Bin 0 -> 715048 bytes mit-materials/MIT6_0001F16_Lec3.pdf | Bin 0 -> 596822 bytes mit-materials/MIT6_0001F16_Lec4.pdf | Bin 0 -> 1116080 bytes mit-materials/MIT6_0001F16_Lec5(1).pdf | Bin 0 -> 942084 bytes mit-materials/MIT6_0001F16_Lec5.pdf | Bin 0 -> 942084 bytes mit-materials/MIT6_0001F16_Lec6.pdf | Bin 0 -> 1360409 bytes mit-materials/MIT6_0001F16_Lec7.pdf | Bin 0 -> 934532 bytes mit-materials/MIT6_0001F16_Lec8.pdf | Bin 0 -> 1036555 bytes mit-materials/MIT6_0001F16_Lec9.pdf | Bin 0 -> 1637733 bytes 12 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 mit-materials/MIT6_0001F16_Lec1.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec11.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec12.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec2.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec3.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec4.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec5(1).pdf create mode 100644 mit-materials/MIT6_0001F16_Lec5.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec6.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec7.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec8.pdf create mode 100644 mit-materials/MIT6_0001F16_Lec9.pdf diff --git a/mit-materials/MIT6_0001F16_Lec1.pdf b/mit-materials/MIT6_0001F16_Lec1.pdf new file mode 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