815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
Unpacking Polars: The Rust-Powered DataFrame Library
This chapter explores the evolution of the Polars DataFrame library, highlighting its roots in Rust and the advantages it brings to data manipulation. The discussion includes the unique characteristics of Rust, such as memory safety and the borrow checker, and how these features enhance coding confidence. It also compares Polars with Pandas, emphasizing its design choices and the commercial efforts supporting its open-source development.
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