815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Lazy Evaluation and Optimization in Polars
This chapter delves into the unique features of Polars, highlighting its use of lazy evaluation and expressions for efficient data processing. It emphasizes performance enhancements through optimizations like common subplan elimination and improved parallelization, along with user-friendly syntax for manipulating data frames.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
