nuts-flow
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A simple dataflow framework in Python
.. image:: pics/nutsflow_logo.gif :align: center
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Introduction <https://maet3608.github.io/nuts-flow/introduction.html>
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Installation <https://maet3608.github.io/nuts-flow/installation.html>
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Tutorial <https://maet3608.github.io/nuts-flow/tutorial/introduction.html>
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Documentation <https://maet3608.github.io/nuts-flow/>
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Github <https://github.com/maet3608/nuts-flow>
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nuts-flow is largely a thin wrapper around Python's itertools that allows
the chaining of iterators using the >>
operator. This leads to more
readable code that highlights the flow of data. The following example shows
two implementations of a simple data processing pipeline; the first based on
itertools and the second using nuts-flow:
from itertools import islice list(islice(filter(lambda x: x > 5, xrange(10)), 3)) [6, 7, 8]
from nutsflow import Range, Filter, Take, Collect, _ Range(10) >> Filter(_ > 5) >> Take(3) >> Collect() [6, 7, 8]
Both examples extract the first three numbers within range [0, 9] that are greater than five. However, the nuts-flow pipeline is easier to understand than the nested itertools code.
nuts-flow is the base for nuts-ml <https://github.com/maet3608/nuts-ml>
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which is described here <https://maet3608.github.io/nuts-ml/>
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