A Curated List of 57 Amazing GitHub Repositories for Every Python Developer

Photo by Luke Chesser on Unsplash

Whether you’re a junior developer or an expert, you’ll often find yourself asking questions like:

• What does good clean code look like?
• Where can I learn to write better code?
• How can I be a better developer?

This is where GitHub comes in!

What‘s GitHub?

GitHub is a code-hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere and is a top platform for sharing all kinds of technologies, frameworks, libraries, and collections.

Did You Know?

Developers all over the world have chosen Python as their main language for many of their projects. Python is an easy-to-use language. It’s versatile and has a large collection of packages — which keeps developers coming.

• Python is reported to be one of the best tools for data science
• Python is GitHub’s second-most popular language
• Python is the most popular language for machine learning
• Google search trends for 2019 place Python as the second-most sought for language on the net
• There are 147,000 packages in Python’s package repository
• According to Stack Overflow, Python is the most preferred language

For these reasons, we’re going to explore the top Python repositories available on GitHub — to not only inspire and teach you but to also give you a taste of what you can do with a creative mind and Python.

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This List

This repositories on this last are ones I’ve personally come across. These repositories help me with my code — I learn from them, get excited about them, am inspired by them, or have otherwise found them useful. This list will give you an edge with your own code and provide great value-

Categories

These are the categories the repositories fall under:

1. Books (4)
2. Interviewing (4)
3. Learn (16)
4. Cool Projects (16)
5. Framewords, Modules, and Tools (17)

Books

“Hitchhiker’s Guide to Python” by Real Python (21.9k stars)

A best-practice handbook to the installation, configuration, and usage of Python.

“Python Machine Learning “ by Sebastian Raschka & Vahid Mirjalili (1.6k stars)

Code notebooks for the classic machine learning textbook.

“Cosmic Python” (1.3k stars)

A book about Pythonic application architecture patterns for managing complexity.

“Byte of Python “ by Swaroop C H (1.3k stars)

Beginners book on Python — start here if you don’t know programming.

Interviewing

“Cracking the Coding Interview “ by Bogdan (140 stars)

Solutions for interview questions appearing in the sixth edition of “Cracking the Coding Interview” (CTCI).

“Interactive Coding Challenges” by Donne Martin (21.2k stars)

120+ interactive Python coding interview challenges (algorithms and data structures) — includes Anki flashcards.

“Python Interview Questions “ by Ian Stapleton Cordasco (108 stars)

A listing of questions that could potentially be asked for a Python job listing

“300 Python Interview Questions” by Learning Zone (64 stars)

300+ Python interview questions.

Learn

“The Algorithms/Python “ by The Algorithms (91.5k stars)

All of the computer science algorithms implemented in Python — great for tech interviews.

“Awesome Python “ by Vinta Chen (88.7k stars)

A curated list of awesome Python frameworks, libraries, software, and resources — with code covering almost everything you might use Python for.

“Full Speed Python “ by João Ventura (2.9k stars)

A book for self-learners — this book aims to teach the Python programming language using a practical approach.

“Python Robotics” by Atsushi Sakai (10.6k stars)

Python sample codes for robotics algorithms.

“Learn Python 3” by Jerry Pussinen (2.8k stars)

Jupyter notebooks for teaching/learning Python 3.

“Learn Python “ by Oleksii Trekhleb (5.3k stars)

Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

“Python Reference” by Sebastian Raschka (2.5k stars)

Useful functions, tutorials, and other Python-related things.

“Manim” by 3b1b (27.8k stars)

An animation engine for explanatory math videos. It’s basically used to create animations programmatically.

“NLTK “ by NLTK (9.4k stars]

An open-source collection of libraries and tools for natural language processing.

Free programming books by the Free Ebook Foundation (164k stars)

Freely available programming books. There’s a Python section with a ton of free e-books to read through.

“100 Days of ML Code” by Avik Jain (30.5k stars)

A mix of worksheets that walk users through the basics of getting started with machine learning. Includes links to code samples, data sets, and useful videos explaining key math concepts.

“D2L “ by Dive Into Deep Learning (8k stars)

Interactive deep learning book with code, math, and discussions. Available in multiframeworks. Adopted at 140 universities from 35 countries.

Models by TensorFlow (67.1k stars)

An open-source repository to find many libraries and models related to deep learning.

TensorFlow examples by Aymeric Damien (39.2k stars)

A reference for anyone getting started with Google’s TensorFlow machine learning software framework. Includes a long list of code examples demonstrating everything from basic TensorFlow operations to building neural networks.

Project Based Learning by Tu V. Tran (40k stars)

A list of programming tutorials that are project-oriented, including building web scrapers, applications, bots, etc.

Coding Problems by Meto Trajkovski (1.4k stars)

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures.

Cool Projects

Airflow by Apache (19.1k stars)

A platform to programmatically author, schedule, and monitor workflows.

Hug by Hug API (6.4k stars)

Hug aims to make developing Python-driven APIs as simple as possible.

Rebound by Jonathan Shobrook (3.4k stars)

A command-line tool that instantly fetches Stack Overflow results when an exception is thrown.

You Get by Mort Yao (36.9k stars)

A tiny command-line utility to download media contents (videos, audios, images) from the web.

Snallygaster by Hanno Böck (1.7k stars)

Tool to scan for secret files on HTTP servers.

DeepFaceLab by iperov (21.1k stars)

A tool that can create deepfake images and videos, allowing you to do a lot of fun stuff, like deaging and swapping faces.

A face swap example. Images by iperov.

Photon by Somdev Sangwan (7.2k stars)

A powerful and easy-to-use web crawler built in Python. It follow the guidelines from the open-source intelligence framework (OSINT), which allows the collection and analysis of information acquired from open or public sources.

ZeroNet by ZeroNet (16.2k stars)

Make decentralized websites using Bitcoin crypto and the BitTorrent network.

ZeroNet screenshot

Gym by OpenAI (22.6k stars)

A toolkit for developing and comparing reinforcement-learning algorithms.

Detectron by Facebook Research (23.8k stars)

FAIR’s research platform for object-detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Example Mask R-CNN output via Detectron

Magenta by Magenta (15.9k stars)

A research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep-learning and reinforcement-learning algorithms for generating songs, images, drawings, and other materials.

Mopidy by Mopidy (6.7k stars)

An extensible music server written in Python — it plays music from the local disk, Spotify, SoundCloud, Google Play Music, and more.

Face Recognition by Adam Geitgey (37.1k stars)

Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library.

Identify an image of Joe Biden with the Face Recognition tool. Image by Face Recognition.

Wagtail by Wagtail (9.6k stars)

A Django content management system focused on flexibility and user experience.

YAPF by Google (11.2k stars)

Takes code and reformats it to the best format for your style guide, even if the original code didn’t violate the style guide.

Zulip by Zulip (12.8k stars)

A powerful, open-source group chat application that combines the immediacy of real-time chat with the productivity benefits of threaded conversations.

Modules, Frameworks, and Tools

Dash by Plotly (13.3k stars)

A Python framework for building analytical web applications — no JavaScript required.

A map app showing Walmart store-opening dates. Image by Plotly.

Django by Django (53.5k stars)

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.

scikit-learn by scikit-learn (42.9k stars)

A Python module for machine learning built on top of SciPy.

Falcon by Falconry (8.1k stars)

A no-nonsense, minimalist REST services and app backend framework for Python developers, with a focus on reliability, correctness, and performance at scale.

Flask by Pallets (52.8k stars)

Flask is a lightweight WSGI web-application framework. It’s designed to make getting started quick and easy, with the ability to scale up to a complex application.

Keras by Keras Team (2.1k stars)

A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.

Kivy by Kivy (12.1k stars)

An open-source, cross-platform Python framework for the development of applications that make use of innovative, multitouch user interfaces.

NumPy by NumPy (15.4k stars)

An open-source Python library for working with n-dimensional arrays and offering an extensive set of tools for numerical operations to achieve enhanced performance and faster execution times.

pandas by pandas (27.2k stars)

A flexible and powerful data analysis/manipulation library for Python, providing labeled data structures.

Requests by Python Software Foundation (43.9k stars)

A Python library that lets you send HTTP/1.1 requests, add headers, form data, multipart files, and set parameters with simple Python dictionaries.

SciPy by SciPy (7.7k stars)

A multidomain and open-source Python library for data science that covers science, mathematics, and engineering.

Seaborn by Michael Waskom (7.8k stars)

A library for visualizations in Python that’s based on Matplotlib and offers an additional layer of customization on graphs and charts generated by Matplotlib.

Statsmodels by Statsmodels (5.7k stars)

A statistics-driven module that offers various classes and functions to the many statistical models available for statistical analysis and exploration of data.

Theano by Theano (9.3k stars)

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multidimensional arrays efficiently.

Tornado by Tornado Web (19.6k stars)

A Python web framework and asynchronous-networking library, originally developed at FriendFeed.

Visdom by Facebook Research (7.7k stars)

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Image by Facebook Research

Matplotlib by Matplotlib (12.6k stars)

A 2D plotting library that produces publication-quality figures in a variety of hard-copy formats and interactive environments across platforms.

Conclusion

I hope you find these repositories as useful and inspiring as I do and use them to broaden your skills and knowledge.

Have fun coding!