## Objectives

This course prepares students to learn, develop, and refine best
practices in geoscience-centric data analysis and visualzation using
free- and open-source software written in Python.

Students will develop interactive, shareable software using what is
often termed the *Python Geoscience Software Ecosystem (PGSE)*, a
continuously evolving set of Python software libraries with particular
application to atmospheric and climate science-related data access,
analysis, and visualization tasks.

Additionally, students will learn and practice *version control* using [Git](https://git-scm.com) and [GitHub](https://github.com).

## Learning Outcomes

By the end of the class, students will have accomplished the following:

1. Accessed, analyzed and visualized geoscience datasets using the
    *PGSE* demonstrated in class and with online resources such as
    <https://projectpythia.org/>  

2. Minimized the need to download copies of datasets from remote
    servers in favor of using PGSE client-access methods  

3. Developed publication/presentation-ready visualizations, both static
    and interactive  

4. Learned software-debugging strategies via the use of online
    resources such as StackOverflow  

5. Contributed example workflows and notebooks to Project Pythia's [Cookbook Gallery](https://cookbooks.projectpythia.org)  


6. **Graduate students only**: Created a public repository on GitHub containing code, figures, and
    documentation of a short but data-intensive research study that
    could be accessed and reproduced by the community at-large