Repo containing the monthly walkthroughs and tutorials from the OPUG meetings.
All of the tutorials can be run using a Jupyter notebook, and support being run from either a docker cotainer, or running them locally using an installed version of Anaconda or building a virtualenv.
To contribute to the repo, please see the "How to Contribute" section below.
To get started, we'll want to run:
docker run -p 8888:8888 -v $(pwd)/tutorials:/home/jovyan jupyter/minimal-notebookIf you haven't already run the minimal-notebook docker image before, docker will automatically download the image and
start a container based on the image. Once it's downloaded, you'll use the URL provided in the terminal output to access
the Jupyter server.
Note, that some of the tutorials may use different docker-stack images; however, they'll call that out in their individual READMEs.
#TODO: Fill this section out.
Docker for Data Science: Running a Dockerized Jupyter Server