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Polars

A high-performance data manipulation library for Python and Rust.

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Teniam Team

ADMIN

2025/06/12
https://pola.rs/
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Polars delivers lightning-fast data processing for large datasets, rivaling pandas with a modern, memory-efficient design.

Key Features:

  • High-performance queries
  • Memory-efficient design
  • Multi-threaded processing
  • Lazy evaluation
  • Cross-language support
  • DataFrame API

Use Cases:

  • Analytics: Process large datasets.
  • Data Science: Build ML pipelines.
  • Prototyping: Test data workflows.
  • SaaS: Power data-heavy apps.
  • Finance: Analyze market data.

Summary: Polars redefines data manipulation with speed and efficiency for modern analytics.