Polars: A Lightning-fast DataFrame for Python - Talk Python To Me Ep.402

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.

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This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe.

▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Ritchie on Mastodon: https://fosstodon.org/@ritchie46
Ritchie on Twitter:   / ritchievink  
Ritchie's website: https://www.ritchievink.com/

▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬

Polars: https://www.pola.rs/
Apache Arrow: https://arrow.apache.org/
Polars Benchmarks: https://www.pola.rs/benchmarks.html
Coming from Pandas Guide: https://pola-rs.github.io/polars-book...

Listen this episode on Talk Python: https://talkpython.fm/episodes/show/4...
Episode transcripts: https://talkpython.fm/episodes/transc...

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