nutsflow 1.0.5

A simple data-flow framework based on iterator chaining

nuts-flow is largely a thin wrapper around itertools that allows the chaining of iterators using the >> operator. The aim is a more explict flow of data. The following examples show a simple data processing pipeline using Python’s itertools versus nuts-flow:

>>> from itertools import islice, ifilter
>>> list(islice(ifilter(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.

Installation guide, API documentation and tutorials can be found here