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

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Manage episode 495034825 series 3678167
Content provided by Posit, PBC and PBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Posit, PBC and PBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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
  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 495034825 series 3678167
Content provided by Posit, PBC and PBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Posit, PBC and PBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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
  continue reading

6 episodes

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