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name: polars description: High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.

Polars Skill

Fast data manipulation in Python.

Contents

• Examples
  • Lazy API, GroupBy, Window Functions.

Core Concepts

• Lazy API: df.lazy()...collect(). Preferred for performance (Query Optimization).
• Expressions: pl.col("a") * 2. Parallelizable logic.
• Eager API: df.filter(...). Good for debugging.

Usage

Use for all tabular data tasks unless pandas is strictly required by legacy dependencies.