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.
#402: Polars: A Lightning-fast DataFrame for Python [updated audio]
February 08, 2023
00:58:48
57.59 MB
Downloads: 0
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: github.io
Watch this episode on YouTube: youtube.com
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
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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: github.io
Watch this episode on YouTube: youtube.com
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Sponsors
Taipy
User Interviews
Talk Python Training