A posit video
podcast series for
data science
OUR HOSTS

Principal Software Engineer, Posit
Michael Chow

Chief Scientist, Posit
Hadley Wickham

Principal Architect, Posit
Wes McKinney
Latest episode
Episode 1: Spreadsheets, bikes, and the accidental empire of R packages
Before Hadley Wickham became a pillar of modern data science, he was a spreadsheet-loving teenager making databases for his dad’s job. In this episode, he reflects on the early days of his involvement with R, the birth of tidyverse, and how real-world unpredictability — like a bear in a field — shapes data science.
UPCOMING EPISODES

EPISODE 2
Wes Mckinney: Part 1 — Building Pandas, Arrow and a speedrunning legacy
Wes McKinney’s fingerprints are all over the modern data stack — from inventing Pandas to co-creating Arrow. But before all that, Wes was organizing speedrun communities and hacking together better ways to wrangle datasets in finance. In this conversation, he shares his origin story and what makes good tools good.

EPISODE 3
Wes Mckinney: Part 2 — Funding the Future of Open Source, what’s next
In Part 2 of our conversation with Wes McKinney, we go beyond the code and into the complicated, mission-driven world of open source funding, community-building, and product strategy. Wes talks about what it takes to make critical tools like Arrow sustainable — from pitching to mavericks at Two Sigma to navigating the politics of Apache Software Foundation governance. Also, metal.

EPISODE 4
Roger Peng: Impact takes time, and it’s totally worth it
Roger Peng is a professor of Statistics and Data Sciences at the University of Texas at Austin, and he’s also the host of a popular data science podcast, Not So Standard Deviations. We talk about the evolution of the data science community, how the conversations have changed, and why teaching remains central to Roger’s mission.

EPISODE 5
Mine Çetinkaya-Rundel: Reproducible research and student-centered learning
Mine Çetinkaya-Rundel is a Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science and an affiliated faculty in the Computational Media, Arts, and Cultures program at Duke University. She joins The Test Set to talk about publishing code, building narrative, and wrestling with ambiguity.