Polars is a query engine with a DataFrame frontend that aims to simplify the querying process for its users. It prioritizes query performance while abstracting away the complexities of its internals. This blog post provides a high-level overview of how Polars works, focusing on the execution of a query. The blog post also discusses the LazyFrame concept, which allows users to define queries without immediate execution. Polars includes a query optimizer that optimizes the logical plan for performance, and a query planner that converts the logical plan into a physical plan for execution. The post highlights the benefits of lazy evaluation and showcases the power of Polars’ query engine in improving query performance.
https://pola.rs/posts/polars_birds_eye_view/