DACHS/Jupyter
Short description of Jupyter
Jupyter (an acronym for Julia, Python and R) is a web application, allowing interactive programming and visualization in a browser. Jupyter uses so-called Jupyter-Notebooks to load and store the program, input data and it's output (including visualization) in a JSON-based file, allowing exchange between different implementations (like Visual Studio Code plus a Jupyter Extension) and specifically allowing incrementally editing using a version-control system like git.
We provide JupyterHub at https://dachs-jupyter.hs-esslingen.de/ as described below.
Access requirements
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Access to Jupyter is limited to IP addresses from the BelWü network. All partners of DACHS are connected to BelWü, so if you are on your campus network (e.g. in your office or on the Campus WiFi) you should be able to connect without restrictions. Otherwise, You will see a hint about having to connect using VPN to Your home institution (and make sure, that all packets are routed through your home institution's VPN, and not in SPLIT tunneling mode, see Login page. |
Prerequisites
- Register as described on the Registration
- Then login to DACHS via SSH at least once: This ensures that your home directory is setup properly on DACHS
- Make sure you're connected to the VPN of your university (see above)
Login process
After having logged into
https://dachs-jupyter.hs-esslingen.de
You will need to specify the resources, as described in the next section.