
Web Scalability for Startup Engineers
Artur Ejsmont
4.8 on Amazon
6 HN comments

Building Secure and Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems
Heather Adkins, Betsy Beyer , et al.
4.7 on Amazon
6 HN comments

Show Me the Numbers: Designing Tables and Graphs to Enlighten
Stephen Few
4.5 on Amazon
6 HN comments

Database Internals: A Deep Dive into How Distributed Data Systems Work
Alex Petrov
4.7 on Amazon
6 HN comments

Whatever It Takes: Master the Habits to Transform Your Business, Relationships, and Life
Brandon Bornancin
4.8 on Amazon
6 HN comments

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

Python for Kids: A Playful Introduction to Programming
Jason R. Briggs
4.6 on Amazon
6 HN comments

The Phoenix Project (A Novel About IT, DevOps, and Helping Your Business Win)
Gene Kim
4.7 on Amazon
6 HN comments

Terraform: Up & Running: Writing Infrastructure as Code
Yevgeniy Brikman
4.6 on Amazon
6 HN comments

A World Without Email: Reimagining Work in an Age of Communication Overload
Cal Newport, Kevin R. Free, et al.
4.5 on Amazon
5 HN comments

Discovering Statistics Using R
Andy Field, Jeremy Miles , et al.
4.5 on Amazon
5 HN comments

C++ Crash Course: A Fast-Paced Introduction
Josh Lospinoso
4.7 on Amazon
5 HN comments

Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked
Adam Alter and Penguin Audio
4.6 on Amazon
5 HN comments

Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Neha Narkhede , Gwen Shapira, et al.
4.4 on Amazon
5 HN comments

The Great Reset: How Big Tech Elites and the World's People Can Be Enslaved by China CCP or A.I.
Cyrus Parsa and The AI Organization
4.5 on Amazon
5 HN comments
IndianAstronautonOct 14, 2016
IndianAstronautonNov 29, 2016
a_bonoboonJune 5, 2017
Motulsky's Intuitive Biostatistics - this one goes over all the usual methods used in science from distributions to t-test to ANOVA to regressions etc., the basics, but doesn't introduce the maths (you use R for that) but the assumptions and pitfalls of all of those methods.
Statistics Done Wrong: The Woefully Complete Guide - this is all the stuff that's going wrong in applied statistics, a bit short but enlightening
Discovering Statistics Using R - a whopper of a book (~1000 pages?), it goes through everything while also being funny (the constant humor may not be for everyone). Graphs, correlations, regressions, all the MLMs and GLMs, linear models etc. pp., their assumptions, how to run them in R, how to interpret R's sometimes annoying output, etc. pp. Like Motulsky's, but wayyyyy more in-depth on the language's specifics.
Naked Statistics - an intro to stats for laypeople with a focus on politics/economics, good for interpreting and assessing daily news
blumkvistonSep 9, 2015
TheLogotheteonNov 22, 2015