Personal Reading List: 3Q2021
My personal reading list for July, August, and September 2021.
Color Key: Special Notes, Completed Reading. Updated throughout the Quarter.
At Bat (Schnell)
Executive Presence for the Modern Leader: A Guide to Cultivating Success and Thriving in the Workplace, by D. A. Benton, Rockridge Press, 2021. Copy provided by Amazon.
The Kubernetes Workshop: Learn How to Build and Run Highly Scalable Workloads on Kubernetes, by Zachary Arnold, Sahil Dua, Wei Huang, Faisal Masood, Melony Qin, and Mohammed Abu Taleb, Packt Publishing, 2020.
Production Kubernetes: Building Successful Application Platforms, by Josh Rosso, Rich Lander, Alex Brand, and John Harris, O'Reilly, 2021.
At Bat (Langsam)
Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho, O'Reilly, 2015.
The Model Thinker: What You Need to Know to Make Data Work for You, by Scott E. Page, Basic Books, 2018.
Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce, O'Reilly, 2017. Copy provided by MarkLogic.
On Deck
Do Something for Nothing: Seeing Beneath the Surface of Homelessness, through the Simple Act of a Haircut, by Joshua Coombes, Akashic Books, 2021. Copy provided by Amazon.
Kubernetes in Production Best Practices: Build and Manage Highly-Available Production-Ready Kubernetes Clusters, by Aly Saleh and Murat Karslioglu, Packt Publishing, 2021.
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.