815: Polars: Faster DataFrame Ops, with Marco Gorelli
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.
An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "815: Polars: Faster DataFrame Ops, with Marco Gorelli" was published on September 3, 2024 and runs 87 minutes.
September 3, 2024 ·87m · Super Data Science: ML & AI Podcast with Jon Krohn
Summary
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 [email protected] 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
Episode Description
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