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项目作者： jyotsnab

项目描述 ：
DASK is a python library for parallel computing and task scheduling
高级语言：
项目地址: git://github.com/jyotsnab/Dask_Tutorial.git
创建时间： 2017-05-22T01:30:59Z
项目社区：https://github.com/jyotsnab/Dask_Tutorial
开源协议：
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Dask_Tutorial

DASK is a python based parallel computing and task scheduling Library.
It’s smooth integration with popular python libraries numpy, pandas, sklearn make this an increasingly popular choice for parallel computing.

The intention of this tutorial is to give an overview about DASK to a beginner.

Some interesting tutorials:

  1. https://github.com/dask/dask-tutorial
  2. https://github.com/mrocklin/dask-workshop
  3. Distributed Random Forests: https://gist.github.com/mrocklin/9f5720d8658e5f2f66666815b1f03f00

NOTE: I am not a developer of DASK. It is developed by Continuum Analytics. See http://dask.pydata.org/en/latest/index.html for more information.

DASK_tutorial_1649504102579.pdf