Books written by rad folks I know
Books by friends & coworkers Unlisted
Created by Emily Gorcenski
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Product Backlog Building (PBB) by Fábio Aguiar, Paulo Caroli
“This book helps teams that are pursuing backlog success to determine exactly how to build a cross functional, successful, and …
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Nexis by A.L. Davroe (Trickster, #1)
In the domed city of Evanescence, appearance is everything. A Natural Born amongst genetically-altered Aristocrats, all Ella ever wanted was …
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In the end, it was all about love by Musa Okwonga
5 stars
The narrator arrives in Berlin, a place famed for its hedonism, to find peace and maybe love; only to discover …
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Infrastructure as Code: Managing Servers in the Cloud by Kief Morris
5 stars
Virtualization, cloud, containers, server automation, and software-defined networking are meant to simplify IT operations. But many organizations adopting these technologies …
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Fundamentals of Data Observability by Andy Petrella
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that …
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4 stars
An intimate, revealing memoir from one of the most important activists of our time.
While working as an intelligence analyst …
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Accelerate: The Science of Lean Software and DevOps by Nicole Forsgren PhD, Jez Humble, Gene Kim
4 stars
This book goes into depth on research that shows how DevOps techniques can make technology organizations more effective. Fundamentally, they …
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The Responsible Communication Style Guide
The words we use to talk about different situations, companies, and people have a huge impact on what we think. …
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5 stars
No Pasarán! Antifascist Dispatches from a World in Crisis
Shane Burley (Editor); Tal Lavin (Foreword); David Renton (Afterword) $25.00 Quantity …
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5 stars
Refactoring is a controlled technique for improving the design of an existing code base. Its essence is applying a series …
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SQL for Data Scientists by Renee M. Teate
5 stars
Jump-start your career as a data scientist―learn to develop datasets for exploration, analysis, and machine learning
SQL for Data Scientists: …
