Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The second part of this series will explore various ways that Python can be used to make interactive graphics that enhance one’s ability to explore data and conceptualize trends and dependencies. We’ll dive into Python libraries for making interactive widgets, plots, and dashboards. These will be covered in interactive exercises so that attendees can gain direct experience in using these libraries. Basic familiarity with Python will be useful.

Any questions about this workshop can be emailed to Ben Winjum at bwinjum@oarc.ucla.edu.

Presented by the Office of Advanced Research Computing.

Register here: https://ucla.zoom.us/meeting/register/tJUlfuiurTgpGNM5xD134DDjbxc_9n08oZ8z