Deep Work

G’day, welcome to my corner of the internet. This blog post is an extension of my Reddit post, and contains tangential details of my experience preparing for and undertaking the SAA-C003 AWS Solutions Architect Exam in 2026.

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

Here are the books that I have taken the time to create metadata and/or notes for.