7 Must‑Try Open‑Source Python Libraries to Accelerate Your Learning

Many learners prefer to find Python study material on GitHub. Below are seven excellent open‑source repositories that cover a wide range of topics, from basic syntax to advanced algorithms, each offering notebooks, scripts, exercises, and additional resources.

1. learn-python3

This repository contains 19 Jupyter notebooks covering basics such as strings and conditionals, object‑oriented programming, exception handling, and features of the Python standard library. Each topic includes a notebook link with explanations and example code, followed by an exercise link for testing.

Project URL: https://github.com/jerry-git/learn-python3

2. learn-python

Designed as an introduction that helps you move from beginner to intermediate level, this collection groups Python scripts by core sub‑topics such as operators, data types, and control flow. It can also serve as a quick reference for looking up documentation, code, and tests.

Project URL: https://github.com/trekhleb/learn-python/blob/master/src/control_flow/test_if.py

3. full-speed-python

The repository quickly introduces fundamentals like strings and lists, then dives into advanced subjects such as classes and asynchronous programming. Each topic is presented with concise code examples and immediate practice problems, and the author provides downloadable PDF/EPUB files.

Project URL: https://github.com/joaoventura/full-speed-python

4. python_reference

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

Project URL: https://github.com/rasbt/python_reference/

5. Python-programming-exercises

Provides 100 Python programming exercises ranging from beginner to advanced difficulty. Originally written in Python 2, all problems have been updated to Python 3. An extended version by other authors offers alternative solutions that are often more idiomatic.

Project URL: https://github.com/zhiwehu/Python-programming-exercises

6. coding-problems

This collection supplies full programming and algorithm exercises as individual Python files, each containing a problem statement and solution. It is recommended for learners who already understand functions and control flow. Additional resources include online courses, books, and popular coding‑challenge sites.

Project URL: https://github.com/MTrajK/coding-problems/

7. TheAlgorithms (Python)

A comprehensive set of algorithm implementations in Python, organized from arithmetic analysis to data structures and even blockchain. Ideal for programmers who have mastered the language and wish to deepen their algorithmic knowledge. Similar repositories exist for Java, C++, Go, and JavaScript.

Project URL: https://github.com/TheAlgorithms/Python/

Article originally sourced from: Python程序员