Up-to-date version of labs for ISLP

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

Style guides for Google-originated open-source projects

Papers from the computer science community to read and discuss.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

A curated list of dotfiles resources.

✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS

Lab Materials for MIT 6.S191: Introduction to Deep Learning

18.06 course at MIT

Tutorials and information on the Julia language for MIT numerical-computation courses.

Code and Data for the Second Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2022).

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Haskell MOOC University of Helsinki

📖 A collection of pure bash alternatives to external processes.

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Ghostscript Printer Application

A collection of useful .gitignore templates