Done

• The C Programming Language
• Go Code
• Effective Go
• The Go Programming Language → link
• On Java - Bruce Eckel
• Blockhain Chicken Farm - stories about tech in China’s countryside
• Crypto 101
• Let’s Go - Alex Edwards
• Understanding Kubernetes
• The Unix Programming Environment
• Fluent Python
• shape up
• Designing Data Intensive Applications
• Patterns.dev

In Progress

• Making reliable distributed systems in the presence of software errors
• Swift Book

Backlog

• The Pragramatic Programmer
• Ian Goodfellow, Yoshua Bengio, Aaron Courville - Deep Learning (2017, MIT)
• The Hundred Page Machine Learning Book
• Neural Networks and Deep Learning - Michael Nielsen
• Gergely Orosz’s Software Engineer’s Guidebook
• Margin of Safety - Seth Klarman
• Thinking in Systems - Donella Meadows
• Clean Code: A Handbook of Agile Software Craftsmanship
• Domain-Driven Design with Golang
• Introduction To Algorithms - also recommended by primeagen, beefier/advanced
• INTERPRETABLE MACHINE LEARNING BY CHRISTOPH MOLAR
• Understanding Kubernetes
• The Ultimate Go Notebook
• Structure and interpration of computers
• Cracking the Coding Interview
• Introduction to Algorithms - Thomas H. Cormen, Charles E. Leiserson
• The System Design Interview
• Phoenix Project
• Refactoring - Martin Fowler
• Domain Driven Design - Evans
• Mostly Adequate Guide To Functional Programming
• Algorithms
• Algorithms for Decision Making
• Crafting Interpreters
• Communicating Sequential Processes - paper by Tony Hoare
• SOLID by Khalil Stemmler
• Functional and Reactive Domain Modeling
• Domain Modeling Made Functional
• Statecharts
• Something about geology. Rocks are cool.
• Training For Climbing - Eric Hörst
• Gang of Four - for design patterns
• Daily Rituals: How Artists Work
• Every Programmer Should Know
• Effective Python
• SHOE DOG by Phil Knight
• Practical Networking
• Uncle Bob’s Clean Architecture
• Deep Work (or other work by Cal Newport)
• The Book of Shaders
• Beej’s Guide to Network Programming
• Building Evolutionary Architectures
• Mountaineering - The freedom of the hills
• Side Hustle - Chris Guillebeau
• 鬼吹燈
• Refactoring UI
• a simple path to wealth
• the little book of common sense investing
• Architecture Patterns with Python
• Simple Sabotage
• “You Are Not Expected to Understand This”: How 26 Lines of Code Changed the World
• Concurrency in Go by Katherine Cox-Buday
• Networking for systems administrators
• coding the matrix - linear algebra. Read this before getting into AI programming.
• Make Your Own Neural Network
• Google SRE bible
• Common Sense Guide to Data Structures - recommended by primeagen, basic
• Prestige, Manipulation, and Coercion: Elite Power Struggles in the Soviet Union and China after Stalin and Mao
• Build your own Database - Example code in Go
• THE MASTER ALGORITHM: HOW THE QUEST FOR THE ULTIMATE LEARNING MACHINE WILL REMAKE OUR WORLD BY PEDRO DOMINGOS

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More lists of books to read:

• Flavio Copes reading list
• This tweet thread
• This Reddit post