A solution that allows you to read articles in peace, all without the need for software, accounts or cookies.

Obsidian vault for Discrete Structures for Computer Science

High-performance Vision library in Python. Scale your research, not boilerplate.

Python Data Science Handbook: full text in Jupyter Notebooks

An open Apple AirDrop implementation written in Python

Jupyter notebooks from the scikit-learn video series

This repo includes ChatGPT prompt curation to use ChatGPT better.

Writing good research code

A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection!

Todo CLI to manage your to do list in a neat way

Bash Academy - The Bash Guide

the only cheat sheet you need

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻

Calculates the entropy of a password

Huge list of videos, talks, courses for Haskell programming language.

Statistical Data Analysis in Python

Guide to securing and improving privacy on macOS

Implementation of simple algorithms in python

The code coverage tool for Python

Master the command line, in one page

CPSC 330: Applied Machine Learning

Config files for vim and tmux.

Machine Learning with sklearn tutorials (for Pearson)

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Self-study on Larry Wasserman's "All of Statistics"

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

Programming of Simulation, Analysis, and Learning Systems Course Materials