Setup Python and Jupyter

Use Python and Jupyter Notebook or JupyterLab for Data Science and ML projects.

1. Install Python 3.8+ and ensure it is on PATH (see Install Python).
2. Create a virtual environment: python -m venv venv, then activate it (venv\Scripts\activate on Windows, source venv/bin/activate on macOS/Linux).
3. Install Jupyter: pip install jupyter or pip install jupyterlab. Install project deps: pip install -r requirements.txt.
4. Start Jupyter: jupyter notebook or jupyter lab. Open the project notebook (e.g. .ipynb) and run cells. Ensure the kernel is set to your venv Python.

For VS Code, install the Jupyter extension and select the venv interpreter; you can run .ipynb files directly.