Personal Reading List: 2Q2020

My personal reading list for April, May, and June 2020.

Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.

At Bat (Schnell)

The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page, Basic Books, 2018.

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages, by Tanmay Bakshi, McGraw Hill, 2020. Copy provided by Amazon.

 At Bat (Langsam)

Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho, O'Reilly, 2015.

Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.

 On Deck

Presto: The Definitive Guide, by Matt Fuller, Manfred Moser, and Martin Traverso, O'Reilly, 2020. Copy provided by Starburst.

In the Hole

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, by Sam Newman, O'Reilly, 2020. Copy provided by Nginx.