Each instance of a Jupyter Hub is tailored to the computing needs of each class. All dependencies and libraries are installed in a docker images supported by CCV - see https://github.com/brown-data-science/docker-stacks.
If you are an instructor and need additional packages, libraries or plugins, please contact us.
If you are a student and want to try additional libraries that are not pre-installed in your Hub, you can install them in your own instance but you need to keep few considerations in mind.
Any location besides HOME is ephemeral. Therefore if you want and installation to persist though sessions you will need to install them in your /home/joyvan
To achieve persistent installs using pip you can use: pip install --user <package>
If installation is via Conda the best approach maybe to create a new environment and set the path to be somewhere inside HOME
To install Julia packages, first activate a project in a new folder or your home.
Then, install packages in that Project. That will create a Project.toml and a Manifest.toml in that folder.
For more information, check Julia's Pkg Documentation.