Books

What we consume determines who we are. Our interests provide a window into our psyche, and very few things impress upon us like the way a good book can. These are some of the books I’ve enjoyed reading in the past and some I’m making my way through now.

• Poor Charlie’s Almanack: The Wit and Wisdom of Charles T. Munger (Personal Favourite ❤️)
• The Black Swan, by Nassim Nicholas Taleb
• Atomic Habits, by James Clear
• How to Lead, by David M. Rubenstein
• Crime and Punishment, by Fyodor Dostoevsky
• The Rational Optimist, by Matt Ridley
• Napolean, by Emil Ludwig
• The Almanack of Naval Ravikant
• Range: Why Generalists Triumph In A Specialized World, by David Epstein
• Sapiens, A Brief History of Humankind by Yuval Nohan Harari
• The Witcher Series, by Andrej Sapkowski
• Thinking Fast and Slow, by Daniel Kahneman
• Zero to One: Notes on Startups, or How to Build the Future by Peter Thiel
• 1984, by George Orwell
• Outliers, by Malcom Gladwell
• Brave New World, by Aldous Huxley
• Mastery, by Robert Greene
• Hit Refresh, by Satya Nadella
• Elon Musk, by Walter Isaacson
• Boomerang, by Michael Lewis
• Deep Work, by Cal Newport
• Plays Unpleasant, by George Bernard Shaw

Technical Books

A new list to keep track of the technical books I have read or started to read recently:

• Designing Data-Intensive Applications^*, by Martin Kleppman.
• Database Systems: The Complete Book, 2nd Edition, by Hector Garcia-Molina, Jeffrey D. Ullman and Jennifer Widom.
• Advanced Python Mastery by David Beazley.
• Natural Language Processing with Transformers, by Leandro von Werra, Lewis Tunstall, and Thomas Wolf
• Machine Learning Engineering^* (an online book) by Stas Bekman.
• Programming Massively Parallel Processors: A Hands-on Approach^*, by Wen-mei W. Hwu, David B. Kirk and Izzat El Hajj
• Learning Ray^*, by Max Pumperla, Edward Oakes, Richard Liaw