Resources

This page will give you resources for useful libraries that can be used to create your projects or any other python code you may want to make in the future. 

To learn more about Python

Python books and resources online

A Byte of Python

Learn Python 3 The Hard Way

Exercises at HackerRank

Level UP your Python (on GitHub)

Real Python (intermediate)

Python exercises on exercism

Other Python tutorials using Jupyter Notebooks

Programming with Python (SWCarpentry)

Introduction to Computing, University of Cambridge (bad link  Azure notebook)

DataCamp's Python tutorial

The source: Python.org tutorial

HSF Advanced Python Tutorial

Python Cheat Sheets

Python Language & Syntax Cheat Sheet by Cottage Labs

Python Crash Course Cheat Sheet (PDF DOWNLOAD, 26 pages, repository) 

Python IDE

Integrated Development Environments (IDEs) help you write better code easily by providing autocomplete, linting (highlight errors), templates, integration with debuggers and VCS, and many other tools. Here are two well versed Python IDEs:

PyCharm (check PyCharm Edu for students)

VSCode (check the  many plugins, like Mintify for comment editing)

Libraries and Project Ideas

PyGame : http://www.pygame.org/ 

Pygame is a set of Python modules designed for writing games. It is written on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the Python language. It is the most popular, and portable game library for Python. 

Free books and project ideas : http://inventwithpython.com/

Python books to apply python to automation, gaming, and more. The digital edition is free! 

Pyganim : http://inventwithpython.com/pyganim/

Pyganim is a simple module for handling sprite animation. Use the link above for a tutorial and some demos! 

Pyxel: https://github.com/kitao/pyxel?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more

A retro game development environment in Python. 

Pytest : https://docs.pytest.org/en/latest/

Python framework that makes it easy to write small tests, yet scales to support complex functional testing. 

Arcade Academy : http://arcade.academy

Arcade is an easy-to-learn Python library for creating 2D video games. It is ideal for people learning to program, or developers that want to code a 2D game without learning a complex framework.

Pymunk : https://www.pymunk.org/en/latest/

A good python library for working with 2d physics.

Numpy : https://docs.scipy.org/doc/numpy/user/quickstart.html .  OR https://www.machinelearningplus.com/python/numpy-tutorial-part1-array-python-examples/

Numpy is considered one of the most popular machine learning libraries in Python. 

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Other resources to learn about computing

The Missing Semester of Your CS Education

Beej's Guide to Network Programming

Towards a HEP Software Training curriculum

Software Engineering for Scientific Computing (source)

INTERSECT Research Software Engineering Training (advanced - some sources, packaging w/ nox source)

Online coding resources

Besides Google Colaboratory that you have already seen, there are other online coding resources:

GitHub Codespaces (check the GitHb Student Developer Pack)

Codeanywhere

CodeSandbox

replit

Collaborate on CodeTogether or using VS Code live share or JetBrain code-with-me

And a few more resources to run notebooks online are suggested in this blog: If you are looking for a free machine with GPU, then you should try Google Colaboratory or Kaggle Kernels. If you are looking for an online environment for your Data Science project and would like to share it with your team, then CoCalc, Noteable, and Deepnote might be a good start. The MyBinder and JupyterLite websites might be great solutions for students and teachers. If you are looking for an online tool for sharing notebooks with non-coders, then Mercury is for you.