In this tutorial, you'll compare Python's instance methods, class methods, and static methods. You'll gain an understanding of when and how to use each method type to write clear and maintainable object-oriented code.

Python Data Science Handbook: full text in Jupyter Notebooks - jakevdp/PythonDataScienceHandbook

In this tutorial, you'll find a set of guidelines that will help you start applying your Python skills to real-world problems. By the end of your reading, you'll be able to answer the question "What can I do with Python?"

ML for Sustainability | PhD Student @ Caltech

Take your coding skills to the next level with our Python roadmap including learning paths and study plans for beginner, intermediate, and advanced Python developers.

In this tutorial, you'll look at what Python decorators are and how you define and use them. Decorators can make your code more readable and reusable. Come take a look at how decorators work under the hood and practice writing your own decorators.

All Algorithms implemented in Python. Contribute to TheAlgorithms/Python development by creating an account on GitHub.

An opinionated list of awesome Python frameworks, libraries, software and resources. - vinta/awesome-python

The Best Django Resource, Awesome Django for mature packages. - shahraizali/awesome-django

Examples using Numba. Contribute to harrism/numba_examples development by creating an account on GitHub.

Algorithmic Design Paradigm for the rest of us