A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.

Are you excited about Haskell, but don't know where to begin? Are you thrilled by the technical advantages, but worried about the unknown pitfalls? This book has you covered.

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book."

—Cassie Kozyrkov, Chief Decision Scientist at Google

"Foundational work about the reality of building machine learning models in production."

—Karolis Urbonas, Head of Machine Learning and Science at Amazon

Everything you really need to know in Machine Learning in a hundred pages.

Ansible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.

While most enterprises are moving to the cloud these days, many initiatives are driven by wishes or promises rather than a sound strategy. Harvested from half a decade of cloud migrations, this book shares frameworks, strategies, and anecdotes for a structured and decision-centric path to cloud success.

Sockets and Pipes is not an introduction to Haskell; it is an introduction to writing software in Haskell. Using a handful of everyday Haskell libraries, this book walks through reading the HTTP specification and implementing it to create a web server.

Level up your C++, get the tools working for you, eliminate common problems, and move on to more exciting things!

A practical book aimed for those familiar with functional programming in Scala who are yet not confident about architecting an application from scratch.

Together, we will develop a purely functional application using the best libraries in the Cats ecosystem, while learning about design patterns and best practices.