A draft curriculum of topics presented from a minimalist perspective. The material is designed for use on a phone or tablet, according to the author. Curriculums listed as in progress include Machine Learning, Security, Math, TAOCP, and Software with introductory courses such as Functional CS, Accelerated CS, and SICP. A Discord channel is mentioned for community.
Interview University
Interview University is a GitHub repository or organization with source code, releases, documentation, or project resources.
Links
Tags
-
0
A draft curriculum of topics presented from a minimalist perspective. The material is designed for use on a phone or tablet, according to the author. Curriculums listed as in progress include Machine Learning, Security, Math, TAOCP, and Software with introductory courses such as Functional CS, Accelerated CS, and SICP. A Discord channel is mentioned for community.
-
0
Zero to Nix is a guide to learning Nix and flakes. It describes core ecosystem components: Nix as a build tool and package manager, the Nix language, NixOS as a Linux distribution, and Nixpkgs as a collection of packages, libraries, and helper functions.
-
0An online book by Hadley Wickham and Jennifer Bryan teaching how to create R packages, the units of shareable, reusable and reproducible R code. It covers turning code into packages others can download and use, is free to read online under a license, and can be ordered in print.
-
0WebHacking provides educational videos, lessons, tutorials, or self-learning resources.
-
0A free, continuously evolving downloadable book collecting community knowledge on 2D game development. It does not teach a specific tool, instead offering tips and tricks applied to any engine or built from scratch. Editions are available in pseudocode, Python, C++, JavaScript, Lua and Rust; some versions require thorough revision.
-
0A document for learning numerics, science and data with Python, consisting of tutorials on the scientific Python ecosystem. Chapters correspond to one- to two-hour courses with increasing expertise, from beginner to expert, covering topics such as NumPy, Matplotlib, SciPy, statistics, scikit-image and scikit-learn.
Community notes
Reviews and discussion
No reviews yet
Be the first to share how this project worked for you.
Join the discussion
Sign in with a verified account to leave a review or join the discussion.
Sign in to review