The Policyviz Podcast

On this week’s episode of the show, I talk with Nate Braun, author of several Python books, all having to do with sports. Nate shares his journey from having a background in economics to writing books on sports data analysis and visualization using Python. Despite not initially being skilled in coding, Braun was inspired by his work in environmental issues and modeling, leading him to develop fantasy football models and later educational books on coding and data analysis with a focus on various sports. We cover Nate’s data scraping and writing process, as well as the ins and outs of why he likes to work with Python and the various libraries he uses in his work.Topics Discussed Background and Transition: Nate shares his unconventional journey from working on environmental issues to developing a niche in sports data analytics. His inspiration took root during his work on modeling the impact of the BP oil spill. Fantasy Football and Education: The pivot to sports began with fantasy football models. The success