A Posit podcast for
data science
For data science junkies, anomaly hunters, and those who play outside the confidence interval.
LATEST: EPISODE 14
RECENT EPISODES
EPISODE 13
Rebecca Barter: Persistent learning, tool building, and 'Will code even exist?'
Rebecca Barter, senior data scientist at Arine and adjunct assistant professor at the University of Utah, refuses to work on things she doesn’t care about. Lucky for us, she cares about a lot, most of all impact. In this episode, Rebecca joins The Test Set to talk about learning fast, building better tools, and staying motivated and adaptable.
EPISODE 12
Marco Gorelli: Narwhals, ecosystem glue, and the value of boring work
You’ve probably used Narwhals without realizing it. It’s the compatibility layer helping apps and libraries like Plotly play nice with Pandas, Polars, Arrow, and more — while keeping computation native instead of converting everything to Pandas. In this episode, Marco Gorelli explains how his weekend experiment turned into essential ecosystem infrastructure and why data types, not APIs, are where interoperability gets tricky. Plus what it takes to build trust and community around an open-source project.
EPISODE 11
Kelly Bodwin: Quarto hacks, AI in the classroom, and why R should stay weird
In this episode, we’re joined by Kelly Bodwin — candy corn defender, board game enthusiast, and Associate Professor of Statistics and Data Science at Cal Poly. We discuss her path from English and French to statistics, how she builds teaching tools and navigates AI in the classroom, and what it takes to keep a programming community weird in the best possible way.
