Frequently Asked Questions (FAQ)
I need more resources for my seminar, bachelor's, or master's thesis than what Jupyter provides. What can I do?
In this case, you can apply for access to bwUniCluster3. Additional resources are available to you as part of a High Performance Computing (HPC) cluster. Similar to bwJupyter, you can start a Jupyter environment via bwUniCluster.
Registration is required to use the bwUniCluster. Please follow the steps in the bwHPC wiki.
Note for students at KIT: Registration begins with the application for a guest and partner account (GuP account) by your supervisor or IT representative of the chair to receive the bwUniCluster entitlement (Step A)
Registration is required to use the bwUniCluster. Please follow the steps in the bwHPC wiki.
Note for students at KIT: Registration begins with the application for a guest and partner account (GuP account) by your supervisor or IT representative of the chair to receive the bwUniCluster entitlement (Step A)
Which files are stored persistently?
All files in the folder
/home/jovyan/work or subfolders are saved. Files located outside (e.g., directly in /home/jovyan) are not saved.I need a software package that is not included in the standard profiles. What can I do?
There are currently the following options for installing packages.
1. Provisioning your own Docker images (recommended)
Lecturers can provide their own JupyterLab environments (so-called Docker images) when creating a profile. Any packages and system dependencies can be installed there in advance. Further information can be found under Jupyter environment (Docker image) in creating a profile.
2. Request demand to bwJupyter support team
If these are public and freely available packages from which other users can also benefit, there is a chance that we will extend the standard profile accordingly. Please send us a short email to support∂bwjupyter.de and tell us the package.
3. Within the running JupyterLab environment
You can install packages within a Jupyter notebook that do not require any further system dependencies. Please note, however, that the packages are not permanently installed, but are only available for the current session. Python packages, for example, can be installed using the "magic command" %pip install.
1. Provisioning your own Docker images (recommended)
Lecturers can provide their own JupyterLab environments (so-called Docker images) when creating a profile. Any packages and system dependencies can be installed there in advance. Further information can be found under Jupyter environment (Docker image) in creating a profile.
2. Request demand to bwJupyter support team
If these are public and freely available packages from which other users can also benefit, there is a chance that we will extend the standard profile accordingly. Please send us a short email to support∂bwjupyter.de and tell us the package.
3. Within the running JupyterLab environment
You can install packages within a Jupyter notebook that do not require any further system dependencies. Please note, however, that the packages are not permanently installed, but are only available for the current session. Python packages, for example, can be installed using the "magic command" %pip install.