Podknife - #402: Polars: A Lightning-fast DataFrame for Python [updated audio] by Talk Python To Me

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

Podcast |: Talk Python To Me
Publisher |: Michael Kennedy (@mkennedy)
Media Type |: audio
Podknife tags |: Interview,; Python,; Software How-To,; Technology
Categories Via RSS |: Technology
Publication Date |: Feb 08, 2023
Episode Duration |: 00:58:48

Description
iTunes 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. Links from the show

Ritchie on Mastodon: @ritchie46@fosstodon.org Ritchie on Twitter: @RitchieVink Ritchie's website: ritchievink.com Polars: pola.rs Apache Arrow: arrow.apache.org Polars Benchmarks: pola.rs Coming from Pandas Guide: rs.github.io/polars-book/user-guide/coming_from_pandas.html">github.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy

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