https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html
https://spinningup.openai.com/en/latest/spinningup/rl_intro.html
https://github.com/EconForge/interpolation.py
https://flask.palletsprojects.com/en/2.0.x/
https://gist.github.com/ih2502mk/50d8f7feb614c8676383431b056f4291 - Quantopian Lectures
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
https://the-algorithms.com/ - List of Python Algos
https://github.com/aladdinpersson/Algorithms-Collection-Python
https://github.com/awesomedata/awesome-public-datasets
https://cs231n.github.io/python-numpy-tutorial/
https://github.com/jakevdp/PythonDataScienceHandbook
https://github.com/rasbt/python-machine-learning-book
https://github.com/chiphuyen/ml-interviews-book
https://huyenchip.com/machine-learning-systems-design/toc.html
https://github.com/Tedb0dy/mlcourse.ai
https://github.com/Tedb0dy/data-science-ipython-notebooks
https://github.com/ucg8j/awesome-dash
https://github.com/Tedb0dy/100-Days-Of-ML-Code
https://github.com/practical-tutorials/project-based-learning#python
https://github.com/ageron/handson-ml
https://github.com/practical-tutorials/project-based-learning#python
https://github.com/Tedb0dy/machine_learning_examples
https://github.com/donnemartin/interactive-coding-challenges
https://cs230.stanford.edu/blog/tensorflow/
https://github.com/chiphuyen/stanford-tensorflow-tutorials
http://sp16.datastructur.es/index.html
https://ocw.mit.edu/courses/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/
https://github.com/gto76/python-cheatsheet
https://www.python.org/dev/peps/pep-0008/ - Python programming practices
https://towardsdatascience.com/write-clean-python-code-using-pipes-1239a0f3abf5
https://rszalski.github.io/magicmethods/
https://kbroman.org/github_tutorial/
https://battleofthequants.com/
https://brailleinstitute.org/freefont
Three.js p5.js processing
https://nedbatchelder.com/text/kindling.html