Data Visualization in Python
by
Tue, Sep 30, 2025
10 AM – 12 PM EDT (GMT-4)
Private Location (sign in to display)
Registration
Details
Learning objectives: Attendees will be exposed to different plotting packages in Python, along with how to integrate them with NumPy and Pandas. After the session, participants will know the basic mechanics of how to generate publication-quality plots using Python.
Session format: Presentation, demo and hands-on
Knowledge prerequisites: Participants should have reasonable facility with the Python programming language, including a basic familiarity with NumPy arrays and Pandas data frames. No previous experience with Python plotting tools is required.
Hardware/software prerequisites: Participants must bring a laptop with a web browser installed.
Target audience: Students, researchers, faculty, staff
See the full Research Computing training schedule or subscribe to the Research Computing mailing list.
Speakers
Carolina Roe-Raymond
Visualization Analyst
Princeton University
Carolina Roe-Raymond is a Visualization Analyst in Research Computing at Princeton University. As a Visualization Analyst, Carolina helps Princeton faculty, staff, and students explore and communicate their data through graphs, charts, and other visuals. Prior to her current position, Carolina created static and interactive data visualization applications for academic research groups. Carolina has a Ph.D. in Resource Ecology and Management, where she used visualizations created in R and GIS programs to advance research in urban bee ecology.
Hosted By
Carolina S. Roe-Raymond
Co-hosted with: GradFUTURES
Contact the organizers