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10 books Python developers should be reading

Episode #130, published Tue, Sep 19, 2017, recorded Tue, Jul 18, 2017

One of the hallmarks of successful developers is continuous learning. The best developers I know don't just keep learning, it's one of the things that drives them. That's why I'm excited to bring you this episode on 10 books Python developers should read.

You'll meet Timo Koola who is an avid reader and self-learner in the Python space. He's found 10 books from his experience that have had huge affects on him and we'll discuss them next.
Links from the show

Timo on Twitter: @tkoola
Newspaper package: github.com/codelucas/newspaper

The 10 Books
Automate the Boring Stuff with Python: amzn.to/2vyr1yD
Python Pocket Reference: amzn.to/2tmH5XU
Python Cookbook: amzn.to/2vfbAfz
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython: amzn.to/2u5lP60
Working Effectively with Legacy Code: amzn.to/2uwtigT
Python Testing with pytest: amzn.to/2veXP0g
Hands-On Machine Learning with Scikit-Learn and TensorFlow: amzn.to/2tco1rc
About Face: The Essentials of Interaction Design: amzn.to/2uwtugk
Thinking in Systems: A Primer: amzn.to/2u6FbJF
Thinking, Fast and Slow: amzn.to/2tnnlTN
Learn You a Haskell for Great Good!: amzn.to/2veOjdv
Episode transcripts: talkpython.fm

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