AI导哈

智能体工作流

dask

k-dense-ai/scie…t-skills

Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.

  • 2035 次安装
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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill dask

SKILL.md

Dask

Overview

Dask is a Python library for parallel and distributed computing that enables three critical capabilities:

  • Larger-than-memory execution on single machines for data exceeding available RAM
  • Parallel processing for improved computational speed across multiple cores
  • Distributed computation supporting terabyte-scale datasets across multiple machines

Capacity depends on partition sizes, intermediate data, concurrency, storage, and available memory.

Reviewed release: dask/distributed 2026.8.0 (September 30, 2026 review). Docs: docs.dask.org. Since 2025.1.0, the expression-based DataFrame API with query planning is the only implementation — do not install dask-expr separately or set dataframe.query-planning: False.

Quick Start

Installation

相关 Skills

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