815: Polars: Faster DataFrame Ops, with Marco Gorelli
Description
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
United States
