Personal Reading List: 1Q2022

My personal reading list for January, February, and March 2022.

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

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At Bat (Schnell)

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Master Your Next Move: The Essential Companion to "The First 90 Days", by Michael D. Watkins, Harvard Business Review Press, 2019.

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

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 At Bat (Langsam)

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

Hero on a MIssion: A Path to a Meaningful Life, by Donald Miller, HarperCollins Leadership, 2022. Copy provided by Amazon.

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

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 On Deck

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Enterprise AIOps: A Framework for Enabling Artificial Intelligence, by Justin Neroda, Steve Escaravage, and Aaron Peters, O'Reilly, 2021. Copy provided by Booz Allen Hamilton.

Work Better Together: How to Cultivate Strong Relationships to Maximize Well-Being and Boost Bottom Lines, by Jen Fisher and Anh Phillips, McGraw Hill, 2021. Copy provided by Deloitte.

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In the Hole

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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.