Hacker News Books

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

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The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations

Gene Kim , Patrick Debois , et al.

4.6 on Amazon

2 HN comments

Deep Learning with Python

François Chollet

4.5 on Amazon

2 HN comments

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition

Stefan Jansen

4.5 on Amazon

2 HN comments

Building Microservices: Designing Fine-Grained Systems

Sam Newman

4.5 on Amazon

2 HN comments

Team Topologies: Organizing Business and Technology Teams for Fast Flow

Matthew Skelton , Manuel Pais , et al.

4.6 on Amazon

2 HN comments

UNIX and Linux System Administration Handbook

Evi Nemeth, Garth Snyder, et al.

4.7 on Amazon

2 HN comments

Building Mobile Apps at Scale: 39 Engineering Challenges

Gergely Orosz

5 on Amazon

2 HN comments

Release It!: Design and Deploy Production-Ready Software

Michael T. Nygard

4.7 on Amazon

2 HN comments

Advances in Financial Machine Learning

Marcos Lopez de Prado

4.5 on Amazon

2 HN comments

How Google Works

Eric Schmidt and Jonathan Rosenberg

4.5 on Amazon

2 HN comments

Start with Why: How Great Leaders Inspire Everyone to Take Action

Simon Sinek

4.6 on Amazon

1 HN comments

Press Reset: Ruin and Recovery in the Video Game Industry

Jason Schreier

4.4 on Amazon

1 HN comments

The Elder Scrolls: The Official Cookbook

Chelsea Monroe-Cassel

4.9 on Amazon

1 HN comments

Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

Aditya Bhargava

4.6 on Amazon

1 HN comments

The Phoenix Project (A Novel About IT, DevOps, and Helping Your Business Win)

Gene Kim

4.7 on Amazon

1 HN comments

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bwh2onApr 30, 2021

Designing Data Intensive Applications was surprisingly detailed in terms of data storage.

I also enjoyed Release It! by Michael Nygard to learn about making distributed systems more resilient.

macintuxonJune 21, 2021

A couple of books that are often recommended for understanding how to make robust software:

- Release It! (https://pragprog.com/titles/mnee2/release-it-second-edition/)

- Designing Data-Intensive Applications (https://dataintensive.net/)

I would suggest finding an open source project of interest and taking a deep dive into its code and documentation to understand how it works and why it was built that way.

Which reminds me, this should help with that: The Architecture of Open Source Applications (http://www.aosabook.org/en/index.html)

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