The TU Cookbooks project addresses the growing demand for data-driven exploration in modern academia and industry by providing a digital skills framework for contemporary ML/AI workflows. These workflows require expertise spanning computer architectures, programming paradigms, statistics, and machine learning for predictive modeling. The goal is to equip students with foundational programming skills, progressing from basic concepts to practical applications in science to support scalable and reproducible research. These skills are transferred using Jupyter Notebooks, which combine real-world examples with coding “best practices” for handling large volumes of data, data wrangling, and visualization. These “Cookbooks” are hosted and accessed via a browser through JupyterHub—a platform designed to offer students low-barrier access to an e-learning environment.

Contributing¶

Interested in contributing a new Cookbook or contributing to an existing Cookbook? Great! Please see the TU Cookbook Development Guide.