Polars: A Highly Optimized Dataframe Library

Explore a conference talk on Polars, a highly optimized dataframe library, presented by Matt Harrison at Conf42 Machine Learning 2023. Dive into the speaker's relevant background and opinions on dataframe optimization. Learn about various data types, including integers and strings, and discover techniques for efficient data extraction. Understand the importance of date handling and chaining operations. Gain insights on when to avoid applying functions and master the art of aggregation. This comprehensive overview covers essential topics for leveraging Polars to enhance data processing efficiency in machine learning workflows.

intro
preface
relevant background
outline of opinions
types
ints
strings
extract ffs, speed & manual
dates
chain
don't apply if you can
master aggregation
summary