Package Installation

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

Installing Julia Packages

To install Julia packages, first activate a project in a new folder or your home.

julia
]activate .

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.