Managing Python Packages on an HPC Cluster

Submission Number: 279
Submission ID: 4187
Submission UUID: 138f9c5b-c2ae-4b04-88c1-95ab4953c94a
Submission URI: /form/resource

Created: Tue, 10/31/2023 - 16:13
Completed: Tue, 10/31/2023 - 16:13
Changed: Mon, 02/26/2024 - 19:04

Remote IP address: 129.174.252.250
Submitted by: Swabir Silayi
Language: English

Is draft: No
Yes
Managing Python Packages on an HPC Cluster
Docs
Intermediate
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.
documentation, pytorch, data-science, open-ondemand, batch-jobs, job-submission, slurm, environment-modules, anaconda, jupyterhub, python, library-paths, dependencies, pip, version-control
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