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PaPy: Parallel and Distributed Data-processing Pipelines in Python

Published in arXiv (Cornell University) • Jul 15, 2014
NobleIDNI8P02W81R52S54
Authors:
Marcin Cieślik
,
Cameron Mura

Abstract

PaPy, which stands for parallel pipelines in Python, is a highly flexible framework that enables the construction of robust, scalable workflows for either generating or processing voluminous datasets. A workflow is created from user-written Python functions (nodes) connected by 'pipes' (edges) into ...

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