Comments (1)
You can run the image/container on a laptop/desktop. You could try jupyterhub on server and use docker spawner to serve up the image. Works well. That part is managed but an IT partner on campus, however, so I don't know the details. Perhaps you can start with the below. We use both (1) local install and (2) jupyterhub for our students so they have access to a backup as needed and they can also have access to the computing platform after the graduate
https://tljh.jupyter.org/en/latest/
You can add datasources if you create a new image derived FROM this one. However, the way the launch script works now, you can mount the users home directory and just share data with other (e.g., through Dropbox or similar).
If you want fewer options you would have to dive into the launch scripts and edit it as you want
from docker.
Related Issues (7)
- [radiant] How to pre-add data and start only the data mode HOT 1
- jupyter notebook loading older version of a package HOT 1
- how to solve the problem with inconsistent user names? HOT 1
- Failure to install the "Windows Terminal" and Docker Desktop HOT 1
- unable to locate the git folder after re-installing rsm setup HOT 1
- Unable to connect to service when adding custom users users HOT 4
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from docker.