Polars is written from the ground up with performance in mind. Its multi-threaded query engine is written in Rust and designed for effective parallelism. Its vectorized and columnar processing enables cache …

A consistent and predictable API. Adheres to a strict schema (data-types should be known before running the query). Polars is written in Rust which gives it C/C++ performance and allows it to fully …

Python API reference # This page gives a high-level overview of all public Polars objects, functions and methods. All classes and functions exposed in the polars.* namespace are public.

If you're already an advanced user or familiar with dataframes, feel free to skip ahead to the next chapter about installation options. Installing Polars Python Rust

These are made optional to minimize the footprint. The flags are different depending on the programming language. Throughout the user guide we will mention when a functionality used …

If you have ns -precision temporal values you should be aware that Python natively only supports up to μs -precision; ns -precision values will be truncated to microseconds on conversion to Python.

Python API # Introduction # There are four primary entry points to the Polars SQL interface, each operating at a different level of granularity.

Pandas doesn't have an expression system and often requires Python lambda s to express the complexity you want. Polars sees the requirement of a Python lambda as a lack of expressiveness of …

Before writing custom Python functions, consider using Polars plugins which offer better performance and integration. Check out the expression plugins documentation for custom expressions and I/O …

Jul 1, 2024 · We have released Python Polars 1.0. We are very excited to reach this milestone. Since its inception four years ago, Polars has gained 27.5K GitHub stars, has over 7 million monthly …