The plotting ecosystem in Rust has still a long way to go and it's much easier to produce nicely looking plots using the existing Python tooling.

How can you run these Jupyter notebooks?

Build the docker image:

docker build -f Dockerfile -t notebook .

Run it, mounting the current directory as a volume:

docker run -p 8888:8888 -v $PWD:/home/jovyan/work -t notebook

You can launch the docker image the first time you need it and, given that the local filesystem is mounted as a volume, the new *.npy will appear in Jupyter as soon as they are generated from the koans.

Running

docker-compose up

should be enough to bootstrap your environment!

Just open in a browser the link shown in the console output to enter your Jupyter environment.

You can install the required packages in a virtual environment with:

pip install pipenv
pipenv sync --dev

Then follow these steps to use your virtual environment in Jupyter: https://stackoverflow.com/a/47296960

You can install the required packages with:

pip install -r requirements.txt