# 815: Polars: Faster DataFrame Ops, with Marco Gorelli

An episode of [Super Data Science: ML & AI Podcast with Jon Krohn](https://invisiblenetwork.ai/podcast/1163599059), 3 Sep 2024, 1 h 27 min.

Audio: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5385657231.mp3?updated=1725534149

Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions. This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • When to use Polars vs Pandas \[08:26\] • How Polars optimizes string operations and data processing \[20:08\] • Where Narwhals outstrips Polars and Pandas \[48:37\] • The benefits of using Altair \[55:21\] • Addressing the lack of women in data science \[1:09:58\] • How to win a forecasting competition \[1:16:58\] Additional materials: www.superdatascience.com/815

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