Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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#402: Polars: A Lightning-fast DataFrame for Python
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Manage episode 354853728 series 2497444
Content provided by Talk Python To Me Podcast and Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talk Python To Me Podcast and Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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. Full show notes at https://talkpython.fm/episodes/show/402/polars-a-lightning-fast-dataframe-for-python
…
continue reading
636 episoade
MP3•Pagina episodului
Manage episode 354853728 series 2497444
Content provided by Talk Python To Me Podcast and Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talk Python To Me Podcast and Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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. Full show notes at https://talkpython.fm/episodes/show/402/polars-a-lightning-fast-dataframe-for-python
…
continue reading
636 episoade
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