A basic Docker setup for running Julia on a Jupyter server. The Docker
image comes configured with a bunch of handy packages for data science
and machine learning (see docker/Dockerfile), but it is easy to add your own.
Most tasks are performed through the Makefile. To get going, run make build and then make up to start the Jupyter server. You can
retrieve the login token for the server by running make logs. Connect to the server on the port specified by JUPYTER_PORT
in the Makefile.
Happy coding!