#402: Polars: A Lightning-fast DataFrame for Python [updated audio]

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 8 February 2023

⏱️ 60 minutes

🔗️ Recording | iTunes | RSS

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Summary

When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, and can be 10-20x faster than Pandas out of the box. We have Polars' creator, Ritchie Vink here to give us a look at this exciting new data frame library.

Transcript

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0:00.0	When you think about processing tabular data in Python, what library comes to mind?
0:05.0	Pandas, I guess.
0:06.2	But there are other libraries out there, and Pollars is one of the more exciting new ones.
0:11.0	It's built in rust, embraces parallelism, and can be 10 to 20 times faster than pandas out of the box.
0:17.6	We have Poller's creator, Richie Vink, here to give us a look at this exciting new
0:22.0	data frame library. This is Talk Python, a weekly podcast on Python.
0:46.7	This is your host, Michael Kennedy.
0:48.5	Follow me on Massadon, where I'm at M. Kennedy and follow the podcast using at TalkPython,
0:53.6	both on bostadon.org. Be careful with
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1:18.5	Tai Pi. Tai Pi is here to take on the challenge of rapidly transforming a bare algorithm
1:23.1	in Python into a full-fledged decision support system for end users. Check them out at TalkPython.fm slash Taipei, T-A-I-P-Y.
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1:43.6	Hey, Richie. Welcome to Talk Python to me. Hi, Michael. Thanks for having me. interviews to participate today. Hey, Richie.
1:44.6	Welcome to talk Python to me.
1:46.1	Hi Michael.
1:46.7	Thanks for me.
	...

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