#Teaching
Showing 38 of 38 repositories tagged #teaching, ranked by stars
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
A bunch of links to blog posts, articles, videos, etc for learning Rust
A free, online learning platform to make quality education accessible for all.
An interactive Git learning game!
Readings in applied data science
A system for assigning and grading notebooks
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Data Science Course in a Box
Deep Learning for Coders, 2020, the website
Interactive Tutorials with R Markdown
Open-Source Information Retrieval Courses @ TU Wien
DEPRECATED. Instructor lesson plans that accompany Xcode projects, for guiding in-class experiential learning.
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
Teaching and Learning with Jupyter
Companion code for C++ Crash Course.
A tool to develop and improve a student’s programming skills by introducing the earliest lessons of coding.
A free online & offline learning platform to make quality education accessible for all.
Research Software Engineering with Python course material
Reference deployment of JupyterHub and nbgrader on a single server
研究资源列表 A curated list of research resources
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
Learn JavaScript fundamentals by building your own jQuery equivalent library
Content from the University of British Columbia's Master of Data Science course DSCI 511.
Machine Learning for Social Science
This repository gives an overview of my teaching activities. Links to slides and data sets are included. Feel free to re-use my content.
Information for readers of the fastai book
Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag
Ensembler is a python package that provides fast and easy access to 1D and 2D model system simulations. It can be used for method development or to deepen understanding of a broad spectrum of modeling methods, from basic sampling techniques to enhanced sampling and free energy calculations. It is easy to install, fast, increases shareability, comparability, and reproducibility of scientific code developments.
Learn and promote blockchain together by writing
Content from the University of British Columbia's Master of Data Science course DSCI 572.
Code examples and references for the course "D3.js in Motion"
r8 – a simple ctf system
Materials for my my R data workshop. https://cengel.github.io/R-data-wrangling/
All the code produced at the "Mobile Devices" lectures for the first semester of 2021 at Universidade Anhembi Morumbi
Jupyter notebook extension that creates a canvas of a cell and allows to paint onto the contents so it could be used to explain some concepts in an interactive way without the need to use a blackboard.
This is the course material for the introductory course into Python basics for Data Scientists.
This is the course material for the advanced course into Python for Data Scientists.
Cours d'informatique commune de 1ère année en CPGE