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Python Books & Courses

All of these are free and legal!

Books (Alphabetical By Author)

Downey, Allen B. Modeling and Simulation in Python. Version 3.4.3, Green Tea Press, 2017.

Downey, Allen B. Think Bayes. Version 1.0.9, Green Tea Press, 2012.

Downey, Allen B. Think Complexity. Version 2.6.3, Green Tea Press, 2016.

Downey, Allen B. Think DSP. Version 1.1.1, Green Tea Press, 2014.

Downey, Allen B. Think Python. Version 2.4.0, Green Tea Press, 2015.

Downey, Allen B. Think Stats. Version 2.1.0, Green Tea Press, 2014.

Duchesnay, Edouard, et al. Statistics and Machine Learning in Python. NeuroSpin CEA, 2020.

Gareth, James, et al. An Introduction to Statistical Learning with Applications in Python. Springer, 2021.

Kong, Qingkai, et al. Python Programming and Numerical Methods. Elsevier, 2020.

Pilgrim, Mark. Dive into Python 3. Apress, 2010.

Sargent, Thomas J., et al. Python Programming for Economics and Finance. QuantEcon, 2020?.

Severance, Charles. Python for Everybody. Self-Published, 2009.

Sweigart, Al. Automate the Boring Stuff with Python. 2nd ed., No Starch Press, 2020.

Sweigart, Al. Cracking Codes with Python. No Starch Press, 2018.

Sweigart, Al. Invent Your Own Computer Games with Python. 4th ed., No Starch Press, 2017.

Sweigart, Al. The Big Book of Small Python Projects. No Starch Press, 2021.

VanderPlas, Jake. Python Data Science Handbook. O'Reilly, 2022.

Websites

• Python Programming

Video Courses

• Socratica - Introduction To Python

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