Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
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Skill Details
GitHub Stars
8.6k
GitHub Forks
1k
Created
Jan 2026
Last Updated
4个月前
tools
tools data analysis
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