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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Ritchie on Mastodon: [ Ссылка ]
Ritchie on Twitter: [ Ссылка ]
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Polars: [ Ссылка ]
Apache Arrow: [ Ссылка ]
Polars Benchmarks: [ Ссылка ]
Coming from Pandas Guide: [ Ссылка ]
Listen this episode on Talk Python: [ Ссылка ]
Episode transcripts: [ Ссылка ]
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