The Test Set by Posit

Posit, PBC

A Posit podcast for data science junkies, anomaly hunters, and those who play outside the confidence interval. Hosted by Michael Chow, with co-hosts Wes McKinney & Hadley Wickham.

Episodes

  1. 15/12/2025

    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 Notes Marco shares the Narwhals origin story (including the meme-powered name), the hard edge cases that live in data types and null semantics, and why he’s cautious about using AI for code generation when correctness hinges on tiny details. We also jam on proactive “GitHub surfing,” conference talks as trust-building exercises, celebrating contributors, and how early commit messages capture the genuine excitement of building something new. What’s Inside Narwhals 101: You’ve probably used it (even if you didn’t know it)The real interoperability traps: data types, null semantics, and “looks-the-same” operationsWhy expression systems won, and how they shaped Marco’s approach — with nods to Ibis, Polars, and PandasOpen source as social work: proactive outreach, trust-building, and a Discord-powered communityExtending Narwhals to new engines, starting with the Daft plugin

    52 min

  2. 01/12/2025

    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. Episode notes Kelly is curious, collaborative, and unafraid to lean in on quirky. Kelly shares how she balances teaching three courses with master's student supervision, applied research projects spanning Polish history and beyond, and her belief that the best part of academia is the people. We also dive into the practical and philosophical challenges of staying current in a field that reinvents itself every few years. What's inside Breakfast mixologyBuilding Quarto extensions with JavaScript and AIWhen ChatGPT helps students learn (and when it doesn't)Applied stats meets history: analyzing social networks from the Polish RevolutionWhy remarkable, welcoming communities matter more than perfect code

    51 min

  3. 17/11/2025

    James Blair: Part 2 — Solutions engineering, critical thinking, and staying human

    This episode is Part 2 of our conversation with James Blair. He explains how he found his “accidental perfect fit” as a solutions engineer and how that role became a pipeline into product management. Get a peek into the AI-powered tooling he’s now building for the Posit ecosystem, and hear how he’s using Claude Code, Positron Assistant, and DataBot to generate synthetic, industry-specific demos on the fly — plus, why the real magic is keeping humans firmly in the loop.  Episode notes This is a story about listening deeply to users and using AI to make that listening scale. James explains what solutions engineers actually do, how that work shaped Posit’s product team, and how synthetic data plus agents are changing the way they build demos and teach data science.  What’s inside What a solutions engineer really is and why the role was such a good fit for JamesHow solutions engineering became a natural pathway into product management at PositMulti-agent “bot posse” workflows and why context management mattersUsing AI the right way and why code literacy, critical thinking, and staying human are the real superpowers in an AI-saturated world

    42 min

  4. 04/11/2025

    James Blair: Part 1 — Portfolios, practice, and staying curious

    In Part 1 of our conversation with James Blair, we trace his delightfully non-linear path from childhood robotics dreams to journalism to R, with a few stops in between. We hear about the Shiny app that changed his career, plus a candid roundtable with Michael, Hadley, and Wes about whether a data-science master’s still pays off in the age of AI. Episode notes This is a story about staying hands-on and fiercely inquisitive — whether analyzing bike telemetry or in teaching data science. James shares how early experimentation with Shiny helped shape his career, and how curiosity (not credentials) still powers meaningful work in data science. What’s inside A winding path from robotics to journalism to psychology to data scienceDiscovering the power of applied statsThe value (and limits) of a data-science master’s in a shifting AI landscapeFighting confirmation bias: good analysis resists the answer you want

    30 min

  5. 20/10/2025

    Julia Silge: Part 2 — Glue work, licensing, and open source in the age of LLMs

    In part two of our conversation with Julia Silge, we discuss how work actually ships: the boundaries, the glue, and the tools that turn noise into signal. From there, we go macro and wonder what the LLM era means for humanity’s contributions, plus how licensing is evolving to protect sustainability without abandoning openness. Episode notes Both practical and philosophical, this conversation spans workplace energy, team connective tissue, and the big questions LLMs have us asking in a shifting data science landscape. What’s inside Julia’s system for turning scattered community signals (GitHub, Stack Overflow, discourse) into product insightThe power of “glue” work, and where to find the winsFrom Stack Overflow to LLMs: What changed when communal Q&A became model fuel — and what that means for finding answersLicenses in a new era: Threading the needle between MIT-style generosity and elastic-style sustainability for platformed softwareTry Positron: Where to download, read docs, and give feedback

    28 min

  6. 08/10/2025

    Julia Silge: Part 1 — Positron, pineapple pizza, and the art of iteration

    In part one of our conversation with Julia Silge, astronomer-turned–data-science leader, we explore why data science needs a different kind of IDE. Julia takes us inside Positron, Posit’s next-generation, data-scientist-first environment, and unpacks the day-to-day realities that make data science work unlike software engineering. Along the way, we get a first-hand account of a legendary pineapple-pizza protest and how to juggle multiple projects at once. Episode Notes: A behind-the-scenes tour of Positron and the workflows it’s built for, plus the stories, trade-offs, and team choreography required to ship an IDE on a living substrate. We talk extension ecosystems, upstream merges, data viewers, and more. Plus, Julia shares why applied systems (and messy, real-world data) are her happy place. What’s Inside: The pineapple-pizza story that unexpectedly went viral — and what “context collapse” feels like from the insideWhy Positron is a data-science-first IDE, optimized for analysis, not general software engineeringIteration vs. reproducibility: the central tension in data science workflows and how tooling can honor bothHadley’s cold-turkey move from RStudio, muscle memory, and finding the new ergonomic grooveHow Julia measures success by smoothing the boundaries between tools and teamsThe applied, people-and-process side of data science that keeps Julia energized

    39 min

  7. 25/09/2025

    Michael Chow: From psychology and Python to constrained creativity

    For this episode, we turn the mic around. Wes McKinney takes over the interviewer’s chair to chat with his co-host, Michael Chow. Michael’s a principal software engineer at Posit, but he started out studying how people think — literally, with a PhD in cognitive psychology. Somewhere along the way, he got hooked on data science, helped build adaptive learning tools at DataCamp, and now spends his days thinking about how to make Python easier to use and more fun. The two dig into what drives Michael’s curiosity, how a “weird obsession with tables” turned into a beloved open source project, and the future of data science/scientists. Episode Notes: We explore Michael’s path from studying the mind to shaping the Python data science ecosystem. From adaptive learning platforms to Great Tables, Michael shares how following unexpected curiosities can spark tools and communities that last. What’s Inside: Michael’s pivot from an academic career in data scienceBehind-the-scenes messiness of building data and learning platformsOpen source projects born out of zany, single-minded passionsBringing beauty to rows and columnsBig-picture thoughts on where data science — and open source tooling — are headed

    1h 7m

  8. 26/08/2025

    Roger Peng: Sustaining data science — in classrooms, code, and conversations

    Michael, Hadley, and Wes welcome Roger Peng, professor of statistics and data science at UT Austin and co-host of Not So Standard Deviations. Together they trace Roger’s journey from early R adopter to pioneering online educator and prolific podcaster. The conversation ranges from the accidental rise of “data science” as a field, to the tension between research papers and software maintenance, to what makes for meaningful, lasting creative work. What’s Inside: Roger’s first analysis project and what it taught him about authorship and dataRoger’s advice for students testing the waters in data scienceWhy software has become the unifying language of modern statisticsThe origins of “data science” as a field and a labelReflections on Coursera, MOOCs, and opening education to the worldWhat keeps a podcast (and a career) going strong after a decade-plus

    45 min

  9. 11/08/2025

    Mine Çetinkaya-Rundel: Teaching in the AI era — and keeping students engaged

    In this conversation, Mine Çetinkaya-Rundel, data science educator at Duke University and Posit, joins Michael, Hadley, and Wes to talk about teaching data science in a time when AI can write the code for you. Mine shares her journey from actuarial science to academia, the teaching philosophy behind the “whole game” approach, and her experiments using LLMs for instant student feedback. Along the way, the group dives into the joys and risks of coding by hand, the role of open source in the classroom, and what it’s like to work across both the R and Python communities. What’s Inside: How a career in actuarial science led Mine to the world of data science and teachingThe “whole game” approach to learning and how it helps students stay motivatedBuilding an LLM-powered feedback tool for low-stakes assignmentsBalancing AI assistance with the need for hands-on coding experienceThe shared DNA of R and Python scientific computing communitiesThe hidden value of live coding, pair programming, and seeing the process — not just the output

    55 min

  10. 29/07/2025

    Wes McKinney: Part 2 — The open source hustle and an insider view of Positron

    In part two of our conversation with Wes McKinney, we dig into the challenges and realities of sustaining open source development. Wes shares how funding actually works (or doesn’t), why corporate buy-in is essential, and what it’s like building tools across languages, communities, and IDEs. We also talk about the Apache Software Foundation’s role in open governance and the origin of the Positron IDE. What’s Inside: Why passion isn’t enough for open source to scaleApache Arrow’s origin story and how it was pitchedHow open governance enables trust between competitorsThe thinking behind Positron, Posit’s next-gen IDEPolyglot programming – Designing tools that bridge the R/Python divideLLMs and data UX: Why modern IDEs need to serve both humans and modelsDay-to-day coding, advising, investing, and context-switchingMetalheads unite

    27 min

  11. 14/07/2025

    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. Stay tuned for part 2, coming soon. What’s Inside: How frustration with data work led Wes to build pandas (and leave a PhD)A nostalgic dive into the GoldenEye speedrunning sceneWhy read_csv performance is a deeply personal crusadeLessons from convincing friends to quit finance and go open sourceFounding startups, launching Arrow, and the Ibis origin storyThe beauty of letting contributors take the reinsShout-out to Philip Cloud, pandas’ resident pun masterWhy open communities win — and what it takes to build them

    23 min

  12. 30/06/2025

    Hadley Wickham: 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. What’s Inside: Hadley’s first brush with R code … inside a Word docConsulting as a grad student — and learning what people really want from statsHow messy Excel sheets inspired the tidy data revolutionWriting R packages as a form of self-defense (and productivity)The secret sauce of building the tidyverse teamOn focus, burnout, and saying “no” to GitHub pull requestsCurrent obsession: using LLMs  to make data science faster, easier, and more funHow writing books is a form of tidying ideas, and how a Shiny textbook led to a custom bike

    28 min
  • 12 Episodes

About

A Posit podcast for data science junkies, anomaly hunters, and those who play outside the confidence interval. Hosted by Michael Chow, with co-hosts Wes McKinney & Hadley Wickham.

Information

  • Creator
    Posit, PBC
  • Years Active
    2K
  • Episodes
    12
  • Rating
    Clean
  • Copyright
    © 2025 The Test Set by Posit
  • Show Website
    The Test Set by Posit

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