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lib-polars

Official

Accelerate data analysis with Polars.

Data & Analytics#performance#etl#data manipulation#polars#dataframe#pandas alternative
Authorbiomaps-infra
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need for faster data manipulation and analysis, especially when pandas becomes a bottleneck for large datasets that still fit within available RAM.

Core Features & Use Cases

  • High-Performance DataFrames: Leverages Apache Arrow for speed and memory efficiency.
  • Lazy Evaluation: Optimizes query execution for complex pipelines.
  • Parallel Execution: Utilizes multi-core processors for faster computations.
  • Use Case: Migrate slow pandas ETL pipelines to Polars for significant speedups, or perform complex aggregations and transformations on multi-gigabyte datasets efficiently.

Quick Start

Use the lib-polars skill to read the CSV file 'large_dataset.csv' and filter rows where the 'value' column is greater than 100.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: lib-polars
Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#lib-polars

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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