885: Python Polars: The Definitive Guide — with Jeroen Janssens and Thijs Nieuwdorp
Python #Polars #Pandas
Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with @JonKrohnLearns where they discuss their book, Python Polars: The Definitive Guide, best practice for using Polars, why Pandas users are switching to Polars for data frame operations in Python, and how the library reduces memory usage and compute time up to 10x more than Pandas. Listen to the episode to be a part of an O’Reilly giveaway!
This episode is brought to you by:
• Trainium2, the latest AI chip from AWS: https://aws.amazon.com/ai/machine-learning/trainium/
• Adverity, the conversational analytics platform: https://eu1.hubs.ly/H0jxK210
• Dell AI Factory with NVIDIA: https://www.dell.com/superdatascience
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
• (00:00:00) Introduction
• (00:04:46) Why Jeroen and Thijs wrote Python Polars: The Definitive Guide
• (00:18:18) Best practices in Polars
• (00:25:08) Why Polars has so many users
• (00:32:37) The benefits of the Great Tables package
• (00:50:05) Jeroen and Thijs’ partnership with NVIDIA and Dell for Python Polars: The Definitive Guide
Additional materials: https://www.superdatascience.com/885
Great Tables
Python Polars: The Definitive Guide
Super Data Science Podcast
SuperDataScience
Jon Krohn
Jeroen Janssens
Python Polars
Data Science
Expertise Development
Michael Chow
Data Visualization
Data Presentation
Styled Tables
DF Style Accessor
Make Data Presentable
Data Science Tools
Deep Learning Illustrated
Publishing a Book
Pandas
AI Tools
Polars
Richie Fink
Rust Programming Language
Alliander
Great Tables
NVIDIA
Dell
Uv Package Manager
Kurzgesagt
ODSC
