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.

  1. 3 天前

    Widgets Are Lego Bricks (and Other Things People Are Sleeping On) — with Vincent Warmerdam

    Vincent Warmerdam has been the first full-time hire at a startup, a spacey punster who accidentally got himself a job, a bartender at an Amsterdam comedy theater, and a Dutch bike tour guide — and he'll tell you all of it was career development. Now doing DevRel at Marimo, Vincent makes the case for reactive notebooks, Lego-brick widgets, and why "number go up" is not a data science strategy. Also: chickens die. The model doesn't know. This matters more than you think. What's inside How a spacey pun accidentally launched Vincent's careerWhy Marimo's constraints make it better for LLMs, not just humansThe gorilla hiding in your dataset — and why the model missed itVibe coding vs. notebooks: three cells at a time as a disciplineWidgets as Lego bricks: reusable, composable, criminally underusedCognitive debt, confirmation bias, and sycophantic data scienceWhy natural intelligence is still, actually, a pretty good idea

    1 小時 16 分鐘

  2. 4月20日

    Everything's a Fad (Including This Podcast) — with Benn Stancil

    Benn Stancil built Mode Analytics, spent a decade in the data trenches, and now writes some of the sharpest, funniest essays in the data world. On The Test Set, he talks about the cultural shift from Nate Silver to Rick Rubin why AI might kill the analytics dashboard, and what happens when a thousand startups all build the same thing. Plus: boy bands as a model for collaboration, and why the best creative work starts with cheating. What's inside:  Why the modern data stack was basically big data 2.0The cultural flip from Nate Silver to Rick RubinGas Town, tar pits, and the AI startup zero-sum gameSoftware is becoming content, and that changes thingsBenn's creative process: Lorde lyrics, Codenames, and cheatingThe boy band as a model for small-team collaborationBI is (mostly) dead, and vibes might replace SQL

    1 小時 35 分鐘

  3. 4月6日

    Deeply Unsexy: SQL's Redemption Arc — with Tristan Handy

    dbt Labs CEO Tristan Handy drops into The Test Set to map the fault lines between the data science world and the enterprise data world — and explain why analytics engineers are basically pissed-off data analysts who decided to organize the bookshelf. We get into SQL's glow-up, the community magic of dbt Slack, what AI agents mean for data warehouses, and why everyone's building iOS apps with Claude now. What's inside: What analytics engineers *actually* doSQL's journey from deeply unsexy to indispensableHow dbt turned source control into a source of truthBuilding a tech community without the RTFM energyAI agents on your data lake: permissions get personalWill LLMs kill the open-source package ecosystem?Edible gardening, welding dreams, and digital dysphoria

    1 小時 6 分鐘

  4. 3月23日

    Your VP Is Doing a Rogue Analysis in Cursor Right Now — with Nell Thomas

    Nell Thomas has spent two decades in data — from equity research to the DNC to Facebook to leading a 400-person data org at Shopify. She walks Michael and Wes through the modern data stack role by role, gets honest about what AI is and isn't changing about data work, and admits the semantic layer has been her greatest leadership failure. Plus: Sneakers gets the respect it deserves. Episode Notes What does it actually look like to run data infrastructure for millions of merchants while the entire industry reinvents itself in real time? Nell Thomas (VP of Data, Shopify) talks vibe-coded dashboards, political campaign data scarcity, blameless postmortems, and why no one should be locking in on an AI strategy just yet. Recorded live in Times Square. What’s Inside Mapping the modern data stack, role by roleWhy data quality is still the #1 problemWhat "good scrutiny" looks like on a data teamVibe coded dashboards and the trust problemShopify's MCP for their data warehouseThe throwaway tech problem in political campaignsWhy the semantic layer is so damn hardSneakers!

    1 小時 23 分鐘

  5. 3月9日

    Sleeping Rats and Sociopathic Agents — with Phillip Cloud

    Phillip Cloud has been shaping the Python data ecosystem since the early pandas days — and he has *opinions*. Now a principal engineer at NVIDIA leading the Ibis project, Phillip talks about how he stumbled into open source via an eye movement lab, why he prefers his coding agents cold and emotionless, and what happens when you ask an LLM for woodworking trig. Plus: terminal user interfaces, the file hierarchy standard hot take nobody asked for, and the pineapple-on-pizza hill he's willing to die on. Episode Notes Phillip Cloud (NVIDIA, Ibis project) joins Michael Chow, Wes McKinney, and Hadley Wickham to talk about his path from eye movement labs to pandas core team, why developer productivity tools have quietly gotten amazing, his brutally honest take on coding agents, and what it would actually take to impress him. Also: VisiData love, NixOS evangelism, and yard work as therapy. What’s Inside From eye movement labs and MATLAB to pandas core teamColumn multi-indexes: the feature nobody likes but Phillip neededWhy your command line tool better have a sweet TUIVisiData: the terminal data tool you're sleeping onAre we writing code for humans or for agents now?Phillip's AI skepticism journey: Cursor, Claude Code, and frustrationThe Numba CUDA test suite port that would finally impress him

    56 分鐘

  6. 2月23日

    More productive but a lot less fun — with Charlie Marsh

    Charlie Marsh built Ruff, uv, and Ty — the tools that mass-fixed Python's worst pain points. Now he's grappling with what happens when agents start writing most of the code. In this episode, Charlie gets real about his team trusting his PRs less, the gnarly middle of coding with agents, and whether Python is even the right language for an agentic future. It's honest, a wee existential, and deeply relatable if you ship code for a living. Episode Notes Charlie Marsh is the founder and CEO of Astral — the company behind Ruff, uv, and Ty. He sits down with Michael and Wes to talk about what it's actually like building with coding agents every day, why his team's code review dynamics completely changed, and big open questions about code quality, open source community, and Python's future nobody has answers to yet. What’s Inside How Ruff convinced mass adoption when switching tools is painfulWhy "just uv run it" became the killer featureHiring outside Python's ecosystem to build tools for itHis team said "we trust your PRs less now"Engineers screen-sharing their actual agent workflows at AstralThe "Lisp Curse" reborn: cheap code breaking open sourceIs Python the wrong language for an agentic world?

    1 小時 35 分鐘

  7. 2月9日

    Alenka Frim: What yoga teaches us about discipline and collaboration in data science

    Alenka Frim went from teaching yoga full-time to becoming a committer and PMC Member on Apache Arrow. In this episode, Alenka joins The Test Set hosts to talk about how Arrow grew from spec to critical infrastructure, and why she started contributing to a project she had never even used. She reflects on imposter syndrome, the discipline of showing up (on the mat and in GitHub), and how agents are changing what it means to write code. Plus: managing 4,000 open issues without losing your mind. Episode Notes Alenka's path into Arrow is unconventional: Sshe wasn't looking for a job, she wasn't using the tool, and she'd spent the previous five years focusing on mind-body fitness. But open source felt like the right place to learn, have fun, and figure things out, so she jumped in. What followed was a journey from her first R bindings to becoming a PMC member on one of the most critical pieces of data infrastructure in the world. What’s Inside Alenka's journey, from yogi to Arrow committerSigns of a healthy open source community: people, dialogue, and turnoverArrow as critical infrastructure: DuckDB, Polars, Pandas, and the spec that unifies themManaging 4,000 open issues without losing your mindImposter syndrome in open sourceWhat the yoga mat teaches you about discipline and collaborationAI and the future of programming: 100x more software or 10x better software?

    1 小時 1 分鐘

  8. 1月26日

    Emily Riederer: Column selectors, data quality, and learning in public

    Emily Riederer writes Python with an R accent, and we’re all comfortable with it. In this episode, Emily reflects on her journey through R, Python, and SQL — from lessons learned in averaging default values (oops, we're not all rich!) to discovering that column selectors are way cooler than they sound. She weighs in on the delicate art of learning in public, why frustration often makes the best teacher, and how to find your niche by solving the boring problems. Oh, Oh, and the crew casually drops that she's keynoting posit::conf 2026! Episode Notes Emily’s had a wild ride through modeling, data engineering, machine learning, and back again, and she knows a thing or three about the evolution of SQL tooling (from nightmare multi-page scripts to the dbt renaissance). She reveals how building internal packages became her gateway to making work enjoyable. Plus: the surprising Stata origins of column selectors, the eternal struggle of naming packages across R and Python, and why watching people code teaches you more than any tutorial ever could. The conversation gets real about imposter syndrome and the magic of tacit knowledge. What’s Inside Why real-world data is chaos, not truthThe path from modeling to data engineering (and back)What a data pipeline really is (extract, load, transform) and why organization mattersHow dbt changed the SQL game Learning by watching: Tacit knowledge and coding over the shoulder Imposter syndrome and learning in public Building internal tools to escape busyworkposit::conf 2025 keynote preview

    58 分鐘
顯示全部 (21)

簡介

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.

資訊

  • 創作者
    Posit, PBC
  • 活躍年代
    2025年 - 2026年
  • 集數
    21
  • 年齡分級
    兒少適宜
  • 版權
    © 2026 The Test Set by Posit
  • 節目網站
    The Test Set by Posit

你可能也會喜歡