The University Computer Centre is now supporting the use of the multi-user data science platform JupyterHub, which allows users to work in their own interactive environment directly in the browser.
JupyterHub allows its users to use many programming languages (like Python, R und Julia) in so-called Jupyter notebooks. Jupyter notebooks are standardised files that enable the creation, management and sharing of program codes.
This enables e.g. teachers, to provide their participants with a standardised but customisable learning environment via eCampus, without having to install software on the end devices first.
JupyterHub users automatically receive 5GB of storage space for their personal Jupyter server. Specifications such as CPU or RAM limits can also be set individually for course participants.
Further information on JupyterHub can be found on our website and in our HRZ documentation.
If you have any questions or problems, please contact the JupyterHub-Team of the University of Bonn.
If you are interested in the subject of digital collaboration, you can visit the website of the ViCo Project.