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  1. Introduce Conda and what it is good for, and how to use on ARCC’s clusters.

  2. How to use Conda to create a variety of environments - based on Python, R and standalone applications.

  3. Detail some of the core Conda configurations that affect your environment.

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Warning

20240911: Currently, across many HPC centers, there are discussions and some confusion over the academic license terms for using miniconda3.

This is being reviewed by Anaconda.com, and we are awaiting clarity on the issue.

Depending on the outcome we might move to using miniforge, instead of miniconda3.

The concepts and context of this workshop should not change, just the name of the module that will need to be loaded.

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Note

Notes:

  • This workshop focuses purely on using Conda. We have a more advanced workshops that details the interplay between Python, Conda and Pip.

  • If you have existing Conda environments, or have installed your own version of Anaconda, then the examples within this workshop might provide different results.

  • We have tried to make the examples as generic as possible. You will need to replace <project-name> and <username> with appropriate values that apply to you.

  • This tutorial is available for download as a PDF here.

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