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polars

8.7

by davila7

167Favorites
349Upvotes
0Downvotes

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

dataframes

8.7

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0

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Data & Analytics

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Quick Review

Excellent Polars skill with comprehensive coverage of DataFrame operations, lazy evaluation, and data I/O. The SKILL.md provides clear, executable examples for all core operations (select, filter, group_by, joins) with appropriate depth. Structure is exemplary: concise main document with well-organized reference files for detailed topics. The quick start is immediately actionable, and the pandas migration guide adds significant practical value. Expression API and lazy evaluation concepts are clearly explained with code examples. The skill meaningfully reduces token costs for data processing tasks that would otherwise require extensive documentation lookup or trial-and-error. Minor room for improvement: could include more streaming/large-data edge cases and performance benchmarking guidance in the main document, though these may be covered in referenced files.

LLM Signals

Description coverage9
Task knowledge10
Structure10
Novelty8

GitHub Signals

18,073
1,635
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Last commit 0 days ago

Publisher

davila7

davila7

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davila7

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