JupyterHub is a multi-user server that allows users to access and run Jupyter Notebooks through a web browser. https://jupyterhub.apps.stack.it.ntnu.no/ is a Jupyterhub installation that is open and available to use for everyone at NTNU. The hub can be used for teaching or academic personal use.
The environment has a limited amount of resources, so it is not necessarily suitable for heavier workloads. The hub does not have access to GPUs. For heavier computation needs, please look into using for example IDUN.
Basic usage
You can access JupyterHub at https://jupyterhub.apps.stack.it.ntnu.no/. Log in with your normal NTNU account through Feide. On the hub you are limited to a maximum of 1 CPU core and 1 GB of memory for running your notebooks. You have access to persistent storage, so all your files will be stored between sessions.
The environment is based on the datascience-notebook stack from Jupyter, and supports the Python, R and Julia programming languages by default. Specifically for Python, the hub comes with many of the commonly used datascience and visualisation packages pre-installed, such as numpy, pandas, scipy, sklearn, matplotlib, seaborn... just mention a few. You can also install any packages you might need yourself.