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Bug#817777: ITP: dask -- Dask is a simple task scheduling system that uses directed acyclic graphs (DAGs) of tasks to break up large computations into many small ones.



Package: wnpp
Severity: wishlist
Owner: Stefan van der Walt <stefanv@berkeley.edu>

* Package name    : dask
  Version         : 0.8.0
  Upstream Author : Matthew Rocklin <mrocklin@gmail.com>
* URL             : http://dask.pydata.org
* License         : BSD
  Programming Lang: Python
  Description     : Task scheduling system for Python

Dask is a simple task scheduling system that uses directed acyclic graphs
(DAGs) of tasks to break up large computations into many small ones.

Dask enables parallel computing through task scheduling and blocked algorithms.
This allows developers to write complex parallel algorithms and execute them in
parallel either on a modern multi-core machine or on a distributed cluster.

On a single machine dask increases the scale of comfortable data from
fits-in-memory to fits-on-disk by intelligently streaming data from disk and by
leveraging all the cores of a modern CPU.

- Dask is a dependency for scikit-image
- This package will be maintained with support from the NeuroDebian team


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