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  • Understand where pip installs packages within a user’s home folder with respect to different versions of Python.

  • Understand how to use pip to install a package within a conda environment.

  • Demonstrate how to create a conda environment, with pip installs, that can be shared across a project.

  • Demonstrate creating a module file to load a conda/python environment.

  • Suggested Best Practices.

Note

Notes:

The focus of this workshop is on how to use

This is not a workshop on learning the Python language, but on using Python, Pip and Conda explicitly on the ARCC clusters (not on desktops)

.This is NOT an introduction to Python programming

. Users should be familiar with python, using pip, and creating

conda environments

Conda environments.

Note

Notes:

  • The workshop modules work best in a sequential manner as a story introducing concepts and providing examples, but sections can be used separately to focus on a particular concept.

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

  • You will need to modify user and username, project names, and folder locations to apply to yourself.

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Sections

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