Module 02: The Swiftest Python Package

Swiftest Short Course

The Purdue University Swiftest Team

Carlisle Wishard, David Minton, Jennifer Pouplin, Jake Elliott, & Dana Singh

Swiftest GitHub	Swiftest Website	Fraggle Paper

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Module 2 - The Swiftest Python Package

Welcome back to the Swiftest Short Course! In Module 1, you learned how to download, install, and compile Swiftest on a Linux machine. In Module 2, you will learn how to install the Swiftest Python package on a Linux machine. This package is allows for the seamless and efficient creation of input files and analysis output files. By the end of this module, you will have a functioning version of the Swiftest Python package loaded into a Conda environment and a Jupyter Notebook kernel.

Active Learning Goals Checklist

By the end of Module 2, you will know how to:

• Verify that your local machine meets the requirements needed to successfully install the Swiftest Python package
• Add the Swiftest Python package to a new or existing Conda environment
• Add the Swiftest Python package to a new Jupyter Notebook kernel

Materials and Information

To complete Module 2, you may need:

• The Swiftest GitHub

Module 2 Video Tutorial

link to the video module or possibly embed?

Module 2 Exercise

[If a python exercise, link to a jupyter notebook. If not, define the deliverable for this module.]

Continue Learning

Congratulations on completing Module 2 of the Swiftest Short Course! Continue to Module 3 to learn about the various integrator options included with Swiftest.

To learn more about Fraggle, see our paper. To learn more about Swiftest, or to contact the Purdue Swiftest Team, see our website.