An experiment to use jupyter notebooks with DVC
It's helpful to have Windows subsystem for Linux, or any virtual Linux machine installed on your computer. Enter this environment with bash or similar commands from a terminal.
You must have pipenv installed. Clone the repository and run pipenv shell in the jupyter-dvc directory to activate the virtual environment. Run pipenv install to install the dependencies.
Run the pipeline using dvc repro notebooks/dvc.yaml. Change parameters in notebooks/params.yaml to alter the notebook's output. The completed notebook is stored in outputs. In practice, you can save outputs from the notebook to any location, and if you don't need the completed notebook you can add the outputs folder to .gitignore.
I incorporated Mercury as a test. You can launch an interactive version of the notebook from within the mercury folder with mercury run.