Jupyter Notebooks via Open OnDemand

VIDEO TUTORIAL

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login to open ondemand at https://s3df.slac.stanford.edu/ondemand
click on the top menu bar and choose interactive apps → Jupyter
Select Custom for Jupyter Image
Select Conda Environment
Make sure the conda env you pick has jupyterlab installed. if not: conda install -c conda-forge jupyterlab
Customize this text that is shown:

Code Block
export CONDA_PREFIX=<path-to-miniconda3> export PATH=${CONDA_PREFIX}/bin/:$PATH source ${CONDA_PREFIX}/etc/profile.d/conda.sh conda env list conda activate <your-environment-name>

Set the path to the conda env setup (CONDA_PREFIX) to run the jupyter notebook. ( conda info | grep "active env location" can show the path to the current active conda env setup (probably miniforge3). You would need to ssh into iana on s3df, activate a conda env that you made with jupyterlab and then run the command to find its path. ) An example output is /sdf/home/s/sanjeev/miniforge3/
(an example of setting up a conda env for the first time for jupyter lab is here in the lume impact jupyter example)
change <environment> to be the desired conda env path, for example /sdf/home/s/sanjeev/miniforge3/envs/bmad I have a conda env called bmad. Another explanation is here.
Click use JupyterLab instead of Jupyter Notebook
For run on cluster type select: Batch; s3df; account: FACET; Partition Milano *make sure your account is part of the FACET repo or use ad:beamphysics if your part of that.
Select number of hours and cores (max cores is 120)
Configure rest of settings
Launch and connect

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