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Managing Python Packages on an HPC Cluster
documentation
pytorch
data-science
ondemand
batch-jobs
job-submission
slurm
environment-modules
anaconda
jupyterhub
python
library-paths
dependencies
pip
version-control
Python Packages on HPC
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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