Introduction to Python for Data Visualization Workshop


This interactive workshop will introduce data visualization in Python for researchers with little or no previous programming experience. A gentle introduction to Python will be followed by an introduction to best practices in data visualization. Those techniques will then be applied to the visualization of a real-world dataset. By the end of the workshop participants should be able to ingest a new data source using Python, and produce a series of visualizations of that data. This workshop is domain agnostic and is open to researchers from the sciences, social sciences, or humanities.

Howard-Tilton Memorial Library Seminar Series
Tulane University, New Orleans, LA
Peter Lawson
NSF Fellow and PhD Candidate in Bioinnovation

My current research involves applying topological data analysis to gain insights into topological differences in cancer morphology at the histological level and their importance in diagnosis and prognosis.