A living list of learning resources I’ve found genuinely useful. Not ranked, grows over time.

AI & LLMs

• Anthropic docs — Claude API, prompt engineering guides
• fast.ai Practical Deep Learning — hands-on deep learning, free
• Neural Networks and Deep Learning — free online book by Michael Nielsen
• The Deep Learning textbook — Goodfellow et al., free online

Embedded & Hardware

• AVR Libc Reference Manual — authoritative AVR C library docs
• Exploring Raspberry Pi (book) — Derek Molloy’s hands-on guide

Software Engineering

• Python Data Science Handbook — Jake VanderPlas, free online
• Learn You Some Erlang — Erlang fundamentals, free online
• Elixir Getting Started — official Elixir tutorial
• Kaggle — datasets, competitions, free courses

Math & Theory

• Neural Network Design (pdf) — Hagan et al., free textbook