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📓 DSA_Python

Welcome to DSA_Python — a collection of organized practice notebooks focused on Python programming, interview prep, coding problems, and more.

This repository contains a set of Jupyter notebooks that showcase solutions to coding challenges, problem sets, and interview preparations. It’s ideal for learners and developers who want to practice Python fundamentals in an interactive environment.

What’s Inside

Each notebook focuses on a theme:

Notebook Content
HackerRank Problems.ipynb Solutions to HackerRank practice challenges
Interview_prep.ipynb Common interview problems and solutions
LeetCode.ipynb LeetCode algorithms & practice
python_practice_problems.ipynb General Python exercises
py ='Topic_wise'+'add'.ipynb Topic-wise code examples

Jupyter Notebook files render interactively on GitHub. They include both code and explanation cells, so you can explore logic and output together.:contentReference[oaicite:1]{index=1}

Prerequisites

To run these notebooks locally, you’ll need:

  • Python (3.7+ recommended)
  • Jupyter Notebook
  • Packages listed in a requirements.txt (optional but recommended)

Install Jupyter Notebook with:

pip install notebook