alterlab-dask

SKILLWorkflowcommunity
v0.0.0AlterLab-IEUMITUpdated 3mo agoSource →

Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration

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3mo agoLast update
Skill
AuthorAlterLab-IEU
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
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About

Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory

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