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