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 02 - The Swiftest Python Package

Welcome back to the Swiftest Short Course! In Module 01, you learned how to download, install, and compile Swiftest on a Linux machine. In Module 02, 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 02, 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 02, you may need:

• The Swiftest GitHub

Module 02 Video Tutorial

link to the video module or possibly embed?

Module 02 Exercise

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

Continue Learning

Congratulations on completing Module 02 of the Swiftest Short Course! Continue to Module 03 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.