This repository contains multiple independent lectures, all having data science as common denominator.
Each lecture includes a presentation stored as a whiteboard.excalidraw file. To view it, open the file in the free online editor at https://excalidraw.com/ and drag-and-drop the .excalidraw file into the canvas.
Some lecture folders also include code; each of these is a standalone project with its own pyproject.toml and uv.lock and must be installed separately.
For a fast installation it is recommended to use uv:
cd path/to/lecture
uv sync
if you really don't want to install extra packages just use pip:
cd path/to/lecture
python -m venv .venv
source .venv/bin/activate
pip install .