Clone this repository to your local machine.
The environment.yml file isn't used, but is included as a reference.
You need to have docker installed.
You can build the image using this command from the new Docker-Images directory:
docker build -t intuitive-bayes-3 intuitive-bayes-3
The build takes a few minutes to complete.
conda and mamba are installed, and mambe is used to install the required python libraries.
The base image is from: https://github.com/jupyter/docker-stacks
The new image contains a default docker user, jovyan.
You can attach your local course files to your docker image, so when you run jupyter lab they are available.
In this example, I have cloned the course repository into the projects folder of my home directory. I then attach that directory to the docker container.
docker run -v /home/mattdube/projects/IntroductoryCourse:/home/jovyan/projects/IntroductoryCourse -it --rm -p 8888:8888 intuitive-bayes-3 start.sh jupyter lab
This has been tested on Pop_OS 21.04 and 21.10 It should work fine under WSL 2 on Windows.
To attach a windows directory under Windows 10/11 (not WSL) you should use:
docker run -it --volume //c/Users/matt/my_project:/home/project
where //c/ is the C drive of your windows install.