Introduction: This workshop will discuss how the various Python related tools work together on the cluster and introduce a series of best practices for managing these environments.

Course Goals:

• 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:

• The focus of this workshop is on how to use 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.

Sections

1. Python Pip Installs on the Cluster:

2. Pip Install within a Conda Environment:

3. Create a Shared TensorFlow Conda Environment:

4. Create a Module File to Load Your Conda Environment:

5. Python, Conda and Pip: Suggested Best Practices: