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
AllanLRHonJuly 20, 2021
I would just describe Grokking Algorithms as a bad book, and mostly relevant if you have zero prior experience with Algorithms.
Oh, and the narration of the code snippets is also pretty useless IIRC.
Ok, while writing this, I realize that “terrible“ might actually be well deserved.