Learn Programming with OCaml

usr.lmf.cnrs.fr

This book on OCaml is an English translation (by Urmila Nair) of this book in French. The translation was funded by The OCaml Software Foundation. The book is openly licensed via CC BY SA 4.0. Get the book (1.9Mb PDF … Read more

How I use LLMs to learn complex topics

laurentiugabriel.github.io
how-i-use-llms-to-learn-complex-topics

Many engineers I know use generative AI for many functions, like building PoCs, internal tools or dashboards, or even learning new stuff. I personally find the style used by LLMs to explain things difficult to follow. It’s just too simplistic … Read more

Learn WebGPU for C++

eliemichel.github.io
learn-webgpu-for-c++

No, I’d rather skip the initial boilerplate. This perfectly makes sense, you can always come back to the basic steps later. You probably want to check out the Resulting code link at the beginning and end of each page, e.g.: … Read more

Learn Claude Code by doing, not reading

claude.nagdy.me
learn-claude-code-by-doing,-not-reading

Try before you install Practice slash commands, hooks, and skills in a terminal simulator right in your browser. No setup, no API key. Build real configs Interactive forms generate CLAUDE.md, hooks, and plugin configs you can copy straight into your … Read more

Learn Lisp/Fennel Programming Against Neovim

github.com
learn-lisp/fennel-programming-against-neovim

A series of Neovim Plugin Development introduction articles, using Fennel as the programming language to explain Lisp, FP, and advanced programming ideas. Exploring Fennel and Functional Programming in Neovim In the AI era, developers need to think about new development … Read more

Learn Prolog Now

lpn.swi-prolog.org

Learn Prolog Now! is an introductory course to programming in Prolog. The online version has been available since 2001, and now there is also a throughly revised version available in book form. We wanted to do two things with this … Read more

Learn Your Way: Reimagining Textbooks with Generative AI

research.google
learn-your-way:-reimagining-textbooks-with-generative-ai

Acknowledgements Shout out to our Google Research LearnLM team who have contributed to this work: Alicia Martín, Amir Globerson, Amy Wang, Anirudh Shekhawat, Anisha Choudhury, Anna Iurchenko, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Dana Oria, … Read more