documentation pytorch data-science ondemand batch-jobs job-submission slurm environment-modules anaconda jupyterhub python library-paths dependencies pip version-control
This workshop will go into the different ways python packages can be managed in a cluster environment using conda and python virtual environments both in batch mode from the command line and with Jupyter Notebooks and Jupyter Lab on the cluster. The examples will be run on the GMU HOPPER Cluster.
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