Dockerized Jupyter notebook for running content from the 2nd Edition of the Machine Learning in Python Cookbook.
To create and run notebooks using Python 3.10 with docker, we can build an image and run a container with this working directory mounted as a volume:
DOCKER_BUILDKIT=1 docker build -t ml-python-cookbook-runner .
docker run -it -v $(pwd):/workspace -p 8888:8888 ml-python-cookbook-runner Go to http://localhost:8888 to open notebooks and run them (you may need the token that's printed out in the terminal).
- The image is massive with all requirements added, slim it down as much as possible
- Break out the requirements into individual files or sets of files per chapter to avoid installing everything
- Pin the dependencies so nothing breaks down the road