Polars: A Lightning-fast DataFrame for Python [updated audio]
Episode #402,
published Wed, Feb 8, 2023, recorded Sun, Jan 29, 2023
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.
We have Polars' creator, Ritchie Vink here to give us a look at this exciting new data frame library.
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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: github.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
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: github.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
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