Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns can be conveyed and understood. The first part of this series will showcase various ways that Python can be used for creating graphics, following which we’ll dive into some common Python libraries for data viz: Matplotlib, Pandas, and Seaborn. We will go through several interactive exercises so that attendees can gain direct experience in using these libraries and will be prepared to learn more on their own after the workshop.

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

Register here: https://ucla.zoom.us/meeting/register/tJwkde2urT0iH9Fz7WUjXzY17g7_PxULI-ZF