7 Excellent Open‑Source GitHub Repositories for Learning Python

1. learn-python3

This repository contains 19 Jupyter notebooks covering basic topics such as strings and conditionals, then moves on to object‑oriented programming, exception handling, and useful standard‑library features. Each notebook includes a tutorial link, example code, and an exercise link for testing your understanding.

2. learn-python

The collection serves as a Python introduction that helps users progress from beginner to intermediate level. It is organized as a set of scripts covering core sub‑topics like operators, data types, and control flow, and can be used as a quick reference or cheat‑sheet.

3. full-speed-python

This repo offers a rapid overview of basics such as strings and lists, then dives into advanced subjects like classes and asynchronous programming. The author presents concise code examples for each topic followed by practice problems, and provides downloadable PDF/EPUB files.

4. python_reference

Targeted at users with a solid Python foundation, this repository focuses on intermediate topics such as SQLite database operations. It includes editable Jupyter notebooks and a curated list of external theoretical resources, including forums, books, and existing Python projects.

5. Python-programming-exercises

Featuring 100 Python programming exercises ranging from beginner to advanced difficulty, the original solutions were written in Python 2 but have been updated to Python 3. An extended version by other authors offers alternative solutions that demonstrate more “Pythonic” approaches.

6. coding-problems

This collection provides a full set of programming and algorithm challenges, each supplied as a standalone Python file containing the problem statement and solution. It is suited for learners who already understand functions and control flow and includes a comprehensive list of additional learning resources such as online courses, recommended books, and popular coding‑site links.

7. TheAlgorithms

The repository contains a suite of Python implementations of various algorithms, organized into categories from arithmetic analysis to blockchain and data structures. It is intended for programmers who are comfortable with Python and wish to deepen their algorithmic knowledge.