These are the books that I’ve found myself enthralled by, and tend to scream from the rooftops about:
Engineering
- The Design of Everyday Things: Revised and Expanded Edition by Don Norman
- Hooked: How to Build Habit-Forming Products by Nir Eyal
Software
- C++ Crash Course by Joshua Lospinoso
Web
- Django unleashed by Andrew Pinkham — attentive author that answers questions, and in conversation with him, resulted in an errata update:
- Django Crash Course: Covers Python 3.8 and Django 3.x by Daniel and Audrey Feldroy (formerly Roy Greenfeld)
Machine Learning / Computer Vision
- Practical Python and OpenCV + Case Studies by Adrian Rosebrock, Ph.D
- Deep Learning for Computer Vision with Python by Adrian Rosebrock, Ph.D
- AI Crash Course by Hadelin de Ponteves
- TensorFlow 1.x Deep Learning Cookbook by Antonio Gulli and Amita Kapoor
- TensorFlow Machine Learning Projects by Ankit Jain, Armando Fandango, and Amita Kapoor
- Hands-On Artificial Intelligence for IoT by Amita Kapoor
- Deep Learning with TensorFlow 2 and Keras by Antonio Gulli, Amita Kapoor, and Sujit Pal
DevOps / SRE
- Google’s Site Reliability Engineering
- Kubernetes in Action by Marko Lukša
Riddles
- Elements of programming interviews in Python
- Cracking the Coding Interview
Business
- Masters of Doom: How Two Guys Created an Empire and Transformed Pop Culture by David Kushner
- Console Wars: Sega, Nintendo, and the Battle that Defined a Generation by Blake J. Harris
- The History of the Future: Oculus, Facebook, and the Revolution That Swept Virtual Reality by Blake J. Harris
- Captive Audience: The Telecom Industry and Monopoly Power in the New Gilded Age by Susan P. Crawford
Finance
- The Millionaire Next Door: The Surprising Secrets of America’s Wealthy by Thomas J. Stanley, Ph.D., William D. Danko, Ph.D., and Sarah Stanley Fallaw, Ph. D.
