sp33c/datascience repository overview

⁠What is it for

Maximum flexibility for any projects. Just install missing dependencies in any terminal or python book with either bash commands or:

! pip3 install ....

Save this command to your notebook as well.

⁠how to start

docker run --rm -it -p8080:8080 -v$(pwd):/home/scientist/notebooks sp33c/datascience this mounts your current local directory into the container

Amazon ECS choice:

docker run --rm -it -p 443:8080 -v$(pwd):/home/scientist/notebooks/host sp33c/datascience

The last option leaves you a choice between two saving locations: docker (/home/scientist/notebooks/container) or host, to save it either to the running container or host if or if not accessible. Saving it the local container allows you still to download it in the browser to any given location on host. Choose this for any ECS container if you can't mount any volume but you still want to work with data. You'll have to upload them or use git in a terminal.

** must access with HTTPS **

• go to https://localhost:8080⁠
• login with password "datascience"