815: Polars: Faster DataFrame Ops, with Marco Gorelli

Published: Sept. 3, 2024, 11 a.m.

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.\n\nThis 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\xa0natalie@superdatascience.com\xa0for sponsorship information.\n\nIn this episode you will learn:\n\u2022 When to use Polars vs Pandas [08:26]\n\u2022 How Polars optimizes string operations and data processing [20:08]\n\u2022 Where Narwhals outstrips Polars and Pandas [48:37]\n\u2022 The benefits of using Altair [55:21]\n\u2022 Addressing the lack of women in data science [1:09:58]\n\u2022 How to win a forecasting competition [1:16:58]\n\nAdditional materials:\xa0www.superdatascience.com/815