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Managing Python Packages on an HPC Cluster
Submission navigation links for Knowledge Base Resources
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Submission information
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
Webform:
Knowledge Base Resources
Approved
Yes
Title
Managing Python Packages on an HPC Cluster
Category
Docs
Tags
documentation
,
pytorch
,
data-science
,
open-ondemand
,
batch-jobs
,
job-submission
,
slurm
,
environment-modules
,
anaconda
,
jupyterhub
,
python
,
library-paths
,
dependencies
,
pip
,
version-control
Skill Level
Intermediate
Description
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.
Link to Resource
Python Packages on HPC
Domain
{Empty}