[ 原始碼： dask ]
套件：python-dask-doc（2024.5.2+dfsg-1）
Minimal task scheduling abstraction documentation
Dask is a flexible parallel computing library for analytics, containing two components.
1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.
This contains the documentation
其他與 python-dask-doc 有關的套件
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- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
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- dep: libjs-sphinxdoc (>= 7.2.2)
- JavaScript support for Sphinx documentation
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- dep: node-js-yaml
- YAML 1.2 parser and serializer