Reading List

As the years approach, I use this page to list out the books I intend to read.

Contrariwise, as the years goes by, I use this list to document the books I finished that year.

2020#

• Make it Stick - Brown, Roediger, McDaniel
• How to Take Smart Notes - Sönke Ahrens

2021#

• Meditations - Marcus Aurelius
• How to Read a Book - Mortimer J. Adler
• Moonwalking with Einstein - Joshua Foer
• One Up on Wall Street - Peter Lynch

2022#

• Deep Work - Cal Newport

2025#

• Kafka on the Shore - Murakami
• Think and Grow Rich - Napolean Hill
• Algorithms - Dasgupta
• Crime and Punishment - Dostoevsky
• Pro Git
• Understanding Analysis - Abbott
• Lord of the Flies - William Golding
• The Art of Statistics - David Spiegelhalter

2026#

• A Mathematician’s Apology
• Zen and The Art of Motorcycle Maintainance
• Linux Pocket Guide - Daniel J. Barrett
• System Design Interview - Alex Xu
• Full-Stack Web Development with TypeScript 5 - Mykyta Chernenko
• Hamlet - Shakespeare
• The Count of Monte Cristo - Alexander Dumas (finish)
• Mathematics for Machine Learning Deisenroth, Faisal and Ong
• Dive into Design Patterns - Alexander Shvets

2027#

• Designing Data-Intensive Applications - Kleppmann
• Efficient Linux at the Command Line - Daniel Barrett
• The Almanack of Naval Ravikant
• The Three Theban Plays - Sophocles
• Aeneid - Virgil
• Effective Python
• Learning Go
• All of Statistics - Larry Wasserman

2028#

• Probability Theory: The Logic of Science - Jaynes
• Networked Life - Mung Chiang
• 48 Laws of Power
• Steve Jobs - Walter Isaacson
• Dickens
• Goethe

2029#

• Probabilistic Machine Learning - Murphy
• Pushkin
• The Intelligent Investor - Benjamin Graham