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mPyPl: Python Monadic Pipeline Library for Complex Functional Data\n Processing

Published in arXiv (Cornell University) • Jun 16, 2021
NobleIDNI7P01W64R60S03
Authors:
Dmitri Soshnikov
,
Yana Valieva

Abstract

In this paper, we present a new Python library called mPyPl, which is\nintended to simplify complex data processing tasks using functional approach.\nThis library defines operations on lazy data streams of named dictionaries\nrepresented as generators (so-called multi-field datastreams), and allows\...

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