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Polars

원문: polars

Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.

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Polars Overview Polars is a lightning fast DataFrame library for Python and Rust built on Apache Arrow. Work with Polars' expression based API, lazy evaluation framework, and high performance data manipulation capabilities for efficient data processing, pandas migration, and data pipeline optimization. Quick Start Installation and Basic Usage Install Polars: Basic DataFrame creation and operations: Core Concepts Expressions Expressions are the fundamental building blocks of Polars operations. They describe transformations on data and can be composed, reused, and optimized. Key principles: Use pl.col("column name") to reference columns Chain methods to build complex transformations Expression

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