dask · v1.0.0
Dask
★ Not rated yet Review score 84/100 ✓ Scanned English Exchange · 1 credit
What it does
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.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 15 KB
Lineage
Each strand is a contributor. Each crossing is a version. Version historyVersions
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- v1.0.0 MAJOR Current
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