The Test Set by Posit

Wes McKinney: Part 1 — Building Pandas, Arrow, and a speedrunning legacy


Listen Later

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 scene
  • Why read_csv performance is a deeply personal crusade
  • Lessons from convincing friends to quit finance and go open source
  • Founding startups, launching Arrow, and the Ibis origin story
  • The beauty of letting contributors take the reins
  • Shout-out to Philip Cloud, pandas’ resident pun master
  • Why open communities win — and what it takes to build them
...more
View all episodesView all episodes
Download on the App Store

The Test Set by PositBy Posit, PBC

  • 5
  • 5
  • 5
  • 5
  • 5

5

23 ratings


More shows like The Test Set by Posit

View all
Planet Money by NPR

Planet Money

30,660 Listeners

On the Media by WNYC Studios

On the Media

9,184 Listeners

Odd Lots by Bloomberg

Odd Lots

1,865 Listeners

The Changelog: Software Development, Open Source by Changelog Media

The Changelog: Software Development, Open Source

291 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

589 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

302 Listeners

Python Bytes by Michael Kennedy and Brian Okken

Python Bytes

214 Listeners

REWORK by 37signals

REWORK

210 Listeners

DataFramed by DataCamp

DataFramed

268 Listeners

Practical AI by Practical AI LLC

Practical AI

212 Listeners

The Real Python Podcast by Real Python

The Real Python Podcast

141 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

89 Listeners

People I (Mostly) Admire by Freakonomics Radio + Stitcher

People I (Mostly) Admire

2,107 Listeners

R Weekly Highlights by Eric Nantz

R Weekly Highlights

6 Listeners

Hard Fork by The New York Times

Hard Fork

5,470 Listeners