
Patterns of Enterprise Application Architecture
Martin Fowler
4.5 on Amazon
1 HN comments

Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz , Tsung-Hsien Lee , et al.
4.6 on Amazon
1 HN comments

Programming Bitcoin: Learn How to Program Bitcoin from Scratch
Jimmy Song
4.5 on Amazon
1 HN comments

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Kevin P. Murphy
4.3 on Amazon
1 HN comments

Machine Learning in Finance: From Theory to Practice
Matthew F. Dixon , Igor Halperin , et al.
4.5 on Amazon
1 HN comments

The Alignment Problem: Machine Learning and Human Values
Brian Christian and Brilliance Audio
4.6 on Amazon
1 HN comments

Life 3.0: Being Human in the Age of Artificial Intelligence
Max Tegmark, Rob Shapiro, et al.
4.5 on Amazon
1 HN comments

Security Engineering: A Guide to Building Dependable Distributed Systems
Ross Anderson
4.8 on Amazon
1 HN comments

Countdown to Zero Day: Stuxnet and the Launch of the World's First Digital Weapon
Kim Zetter, Joe Ochman, et al.
4.7 on Amazon
1 HN comments

Managing Humans: Biting and Humorous Tales of a Software Engineering Manager
Michael Lopp
4.4 on Amazon
1 HN comments

Information Dashboard Design: Displaying Data for At-a-Glance Monitoring
Stephen Few
4.5 on Amazon
1 HN comments

Implementing Domain-Driven Design
Vaughn Vernon
4.5 on Amazon
1 HN comments

Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
Brendan Burns
4.3 on Amazon
1 HN comments

Kubernetes: Up and Running: Dive into the Future of Infrastructure
Brendan Burns , Joe Beda, et al.
4.6 on Amazon
1 HN comments

Unit Testing Principles, Practices, and Patterns: Effective testing styles, patterns, and reliable automation for unit testing, mocking, and integration testing with examples in C#
Vladimir Khorikov
4.8 on Amazon
1 HN comments
wirthjasononAug 12, 2021
Any other suggestions for good Packt books?
I agree, Packt’s quality is much lower than other publishers. As a rule of thumb I stay away but occasionally there’s a gem.
I’ve been looking at “Machine Learning for Algorithmic Trading”. It feels like a dump of wikipedia and a bunch of jupyter notebooks with sloppy code. I cannot decide if it’s worth the pain if slogging through that mess.
https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...