Data science-friendly Docker container
- Has all of the powerful interactive goodies that data scientists love.
- Can run all production Even Python code.
Adding a new package
pip commands in Dockerfile.
2) Run ./build_local.sh.
3) Rebuild downstream images (e.g.,
docker-compose build scholar-notebook.dev).
4) Once you're sure everything looks good, open a PR against this repo.
5) Don't commit anything to downstream repos until the image has been built and published.