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‎.buildinfo‎

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 57d298bffe94eddeead2dae3d884f4bc
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config: 5e652dc56c0ce728e398d92e1ae5e349
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tags: 645f666f9bcd5a90fca523b33c5a78b7

‎_admonition/gpu.html‎

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<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2" />
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<link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=03e43079" />
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<link rel="stylesheet" href="../_static/styles/quantecon-book-theme.css?digest=ca16d73eb23eeca4aff446ccb0673818c18f9cfc" type="text/css" />
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<link rel="stylesheet" href="../_static/styles/quantecon-book-theme.css?digest=b64b8e0eefe2e4a15043a771a993bad53e77d658" type="text/css" />
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<link rel="stylesheet" type="text/css" href="../_static/togglebutton.css?v=9c3e77be" />
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<link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
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<link rel="stylesheet" type="text/css" href="../_static/mystnb.8ecb98da25f57f5357bf6f572d296f466b2cfe2517ffebfabe82451661e28f02.css?v=6644e6bb" />
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</head>
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<body>
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<!-- Prevent flash of light theme when dark mode is saved -->
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<script>
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(function() {
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try {
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if (localStorage.setContrast === '1') {
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document.body.classList.add('dark-theme');
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}
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})();
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</script>
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<p><a href="#top"><strong>Back to top</strong></a></p>
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<a href="#top" class="back-to-top-btn" title="Back to top">↑ Top</a>
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</div>
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‎_notebooks/about_py.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "83509427",
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"metadata": {},
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"source": [
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"\n",
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},
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{
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"cell_type": "markdown",
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"id": "7a6a9fc8",
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"id": "94eb5a8b",
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"metadata": {},
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"source": [
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"# About These Lectures\n",
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},
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{
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"cell_type": "markdown",
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"id": "4db57707",
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"metadata": {},
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"source": [
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"## Overview\n",
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},
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{
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"cell_type": "markdown",
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"id": "abdd09c7",
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"metadata": {},
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"source": [
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"### Can’t I Just Use LLMs?\n",
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},
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{
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"cell_type": "markdown",
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"id": "ddbacb72",
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"metadata": {},
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"source": [
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"### Isn’t MATLAB Better?\n",
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},
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{
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"cell_type": "markdown",
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"id": "58d29b29",
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"source": [
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"## Introducing Python\n",
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},
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"### Common Uses\n",
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Relative Popularity\n",
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},
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"cell_type": "markdown",
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"### Features\n",
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},
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"### Syntax and Design\n",
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},
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"hide-output": false
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},
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},
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"cell_type": "markdown",
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"This Java code opens an imaginary file called `data.csv` and computes the mean\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"hide-output": false
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},
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"### The AI Connection\n",
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},
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{
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"id": "7f9bb4a6",
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"## Scientific Programming with Python\n",
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},
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"cell_type": "markdown",
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"### NumPy\n",
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},
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"cell_type": "markdown",
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"This array is very small so it’s fine to work with pure Python.\n",
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"hide-output": false
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},
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"cell_type": "markdown",
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"Now let’s transform this array by applying functions to it."
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"hide-output": false
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},
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"cell_type": "markdown",
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"Now we can easily take the inner product of `b` and `c`."
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"metadata": {
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"hide-output": false
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},
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"cell_type": "markdown",
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"We can also do many other tasks, like\n",
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},
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"### NumPy Alternatives\n",
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},
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"### SciPy\n",
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},
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},
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"### Graphics\n",
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"### Networks and Graphs\n",
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},
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}
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],
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"metadata": {
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"date": 1772084722.2759006,
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"filename": "about_py.md",
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"kernelspec": {
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"display_name": "Python",

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