#462: Pandas and Beyond with Wes McKinney

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 15 May 2024

⏱️ 60 minutes

🔗️ Recording | iTunes | RSS

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Summary

This episode dives into some of the most important data science libraries from the Python space with one of its pioneers: Wes McKinney. He's the creator or co-creator of pandas, Apache Arrow, and Ibis projects and an entrepreneur in this space.

Transcript

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0:00.0	This episode dives into some of the most important data science libraries from the Python space with one of its pioneers, Wes McKinney.
0:08.0	He's the creator or co-creator of the Pandas, Apache Arrow, and Evis projects, as well as an entrepreneur in this space.
0:15.8	This is Talk Python, me.
0:17.1	Episode 462 recorded April 11th, 2024.
0:22.0	Are you ready for your host?
0:24.2	You're listening to Michael Kennedy on Talk Python to Me.
0:28.0	Life from Portland, Oregon, and this segment was made with Python.
0:34.7	Welcome to Talk Python, a weekly podcast on Python.
0:38.3	This is your host, Michael Kennedy.
0:40.1	Follow me on Massadon, where I'm at M. Kennedy, and follow the podcast using at TalkPython,
0:45.2	both on Boston.org.
0:47.7	Keep up with the show and listen to over seven years of past episodes at TalkPython.fm.
0:52.6	We've started streaming most of our episodes live on YouTube.
0:56.5	Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified
1:00.8	about upcoming shows and be part of that episode.
1:04.3	This episode is sponsored by Neo4J.
1:07.1	It's time to stop asking relational databases to do more than they were made for and simplify
1:12.4	complex data models with graphs.
1:15.3	Check out the sample Fast API project and see what Neo4J, a native graph database, can do for you.
1:21.9	Find out more at TalkPython.fm slash Neo4J.
1:26.6	And it's brought to you by MailTrap, an email delivery platform that developers love.
1:32.5	Try for free at mailtrap.io.
	...

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