Jupyter with uv

README.md

1. Create a virtual environment called, e.g., my-env:

   $ uv venv my-env
   

2. Install ipykernel into it:

   $ uv pip install -p my-env ipykernel
   

3. Register the kernel so it will show up in Jupyter:

   $ uv run -p my-env -m ipykernel install --user --name my-env
   

4. Run Jupyter from anywhere:

   $ uvx jupyter lab
   

5. Install packages into the my-env virtual environment as required, and they'll turn up in your notebooks:

   $ uv pip install -p my-env pandas
   

Or

1. uv init my-project
2. cd my-project
3. uv run --with jupyter jupyter lab
4. Inside a cell, !uv add numpy, or, at the command line inside the my-project directory: uv add numpy