Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

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Destiny: The Official Cookbook

Victoria Rosenthal

4.9 on Amazon

1 HN comments

Marketing Made Simple: A Step-by-Step StoryBrand Guide for Any Business

Donald Miller, Dr. J.J. Peterson, et al.

4.8 on Amazon

1 HN comments

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Gareth James , Daniela Witten , et al.

4.8 on Amazon

1 HN comments

Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software 2nd Edition

Eric Freeman and Elisabeth Robson

4.7 on Amazon

1 HN comments

The Internet of Money

Andreas M. Antonopoulos, Stephanie Murphy, et al.

4.6 on Amazon

1 HN comments

Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century

Jeff Lawson and Eric Ries

4.6 on Amazon

1 HN comments

How to DeFi

CoinGecko , Darren Lau , et al.

4.4 on Amazon

1 HN comments

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

Sebastian Raschka and Vahid Mirjalili

4.5 on Amazon

1 HN comments

Math for Programmers: 3D graphics, machine learning, and simulations with Python

Paul Orland

4.9 on Amazon

1 HN comments

The Book of R: A First Course in Programming and Statistics

Tilman M. Davies

4.5 on Amazon

1 HN comments

The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution

Walter Isaacson, Dennis Boutsikaris, et al.

4.6 on Amazon

1 HN comments

Terraform: Up & Running: Writing Infrastructure as Code

Yevgeniy Brikman

4.6 on Amazon

1 HN comments

Uncanny Valley: A Memoir

Anna Wiener

4 on Amazon

1 HN comments

Web Scalability for Startup Engineers

Artur Ejsmont

4.8 on Amazon

1 HN comments

Ghost in the Wires: My Adventures as the World’s Most Wanted Hacker

Kevin Mitnick, William L. Simon, et al.

4.6 on Amazon

1 HN comments

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abunuwasonAug 10, 2021

Overall I'd say the best book about microservices is Chris Richardson's Microservices Patterns (https://www.manning.com/books/microservices-patterns). That book will get you covered with everything you need to know about designing and building microservices, and also the various strategies you can use to integrate them. The examples are in Java, but even without being a Java dev it shouldn't be difficult to follow.

I'd still recommend Sam Newman's classic Building Microservices (https://www.oreilly.com/library/view/building-microservices/...) as it describes very clearly the main principles for designing robust microservices architectures. If you wanted to learn how to migrate a monolith to a microservices architecture, you can also checkout Newman's more recent Monolith to Microservices (https://www.oreilly.com/library/view/monolith-to-microservic...).

If you want a more practical approach with JavaScript examples, I'd recommend Ashley Davis' Bootstrapping Microservices with Docker, Kubernetes, and Terraform (https://www.manning.com/books/bootstrapping-microservices-wi...).

Finally, if you wanted a practical approach with more emphasis on API integrations and examples in Python, I'd recommend Microservices APIs in Python (https://www.manning.com/books/developing-microservice-apis-w... - disclosure - I'm the author). You can download two free chapters from this URL: https://www.microapis.io/resources/microservice-apis-in-pyth...

It goes without saying that there're a lot more resources about microservices, and many of them excellent, but these are the books I'd recommend to get started.

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