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815: Polars: Faster DataFrame Ops, with Marco Gorelli

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Manage episode 437894907 series 1278026
Content provided by Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

  continue reading

1144 episoade

Artwork
iconDistribuie
 
Manage episode 437894907 series 1278026
Content provided by Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

  continue reading

1144 episoade

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