My personal reading list for January, February, and March 2021.
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.
Learning Spark (Second Edition), by Jules S. Damji, Brooke Wenig, Tathagata Das, and Denny Lee, O'Reilly, 2020. Copy provided by Databricks.
Scala for Java Developers: A Practical Primer, by Toby Weston, Apress, 2018.
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.
Scala for the Impatient (Second Edition), by Cay Horstmann, Addison-Wesley Professional, 2016.
On Deck
Coding Concepts for Kids: Learn to Code Without a Computer, by Randy Lynn, Rockridge Press, 2020. Copy provided by Amazon.
Python Programming for Beginners: A Kid's Guide to Coding Fundamentals, by Patricia Foster, Rockridge Press, 2020. Copy provided by Amazon.
In the Hole
Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, by Sam Newman, O'Reilly, 2020. Copy provided by Nginx.
Presto: The Definitive Guide, by Matt Fuller, Manfred Moser, and Martin Traverso, O'Reilly, 2020. Copy provided by Starburst.