Personal Reading List: 4Q2020
My personal reading list for October, November, and December 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.
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise, by Gregor Hohpe, O'Reilly, 2020. Copy provided by Amazon.
At Bat (Langsam)
Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho, O'Reilly, 2015.
Learning Spark (Second Edition), by Jules S. Damji, Brooke Wenig, Tathagata Das, and Denny Lee, O'Reilly, 2020. Copy provided by Databricks.
On Deck
Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, by Sam Newman, O'Reilly, 2020. Copy provided by Nginx.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
Python Programming for Beginners: A Kid's Guide to Coding Fundamentals, by Patricia Foster, Rockridge Press, 2020. Copy provided by Amazon.
In the Hole
Presto: The Definitive Guide, by Matt Fuller, Manfred Moser, and Martin Traverso, O'Reilly, 2020. Copy provided by Starburst.