Interactive Visualizations with Python

By Zach Griffith on 2020-01-09

Introducing interactivity to visualizations could enable you to more concisely and clearly communicate results. Also, it’s fun. Come learn how you can do so with Python, whether it be for a one-off plot, in a Jupyter Notebook, or for stand-alone dashboards and applications. We’ll mainly be focusing on the Bokeh library and other libraries built off of it (e.g. Holoviews).

Zach Griffith is a software developer at the Space Science and Engineering Center at the University of Wisconsin-Madison. He graduated with a Ph.D. in Physics from UW-Madison in 2019. Zach creates calibration monitoring tools, handles the production of science products, and contributes to building out the software infrastructure for the Atmosphere Science Investigator-led Processing System (SIPS).