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Listen "815: Polars: Faster DataFrame Ops, with Marco Gorelli"
Episode Synopsis
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
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
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