Python - Pipe-Oriented Programming

How to do #PipeOrientedProgramming in Python.

With an example doing simple arithmetic operations,
as the result of one function is piped into the next.

The "lNum" util function means "log number".

from pyLog import lNum from pyNum import minus3, mod6, times2, minusNum, mNum, minNum def pipepy(*funcs): def inner(data, funcs=funcs): result = data for f in funcs: #tsk: throwIfNotFunc  result = f(result) return result return inner # testonly p1 = pipepy( mod6, lNum, # 5  times2, lNum, # 10  minus3, lNum, # 7  minusNum(4), lNum, # -3  mNum(2), lNum, # 5  minNum(25), lNum, # 20 ) p1(5) 

Also, three ways to curry a function in python...

#curry, v1 def minusNum(x): def inner(y): return x - y return inner #curry, v2 def mNum(x): return lambda y: x-y #currry, v3 minNum = lambda x: lambda y: x-y 

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Reactivizer

@reactivizer

How to do #PipeOrientedProgramming in Python.

With an example doing simple arithmetic operations,
as the result of one function is piped into the next.

The "lNum" util function means "log number".

#Python
#FP
#FunctionalProgramming
#MachineLearning
#DataScience
#Javascript

00:30 AM - 10 Jan 2020

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Final words

If you have any input, ideas, opinions, questions, let me know.

There more pipe-oriented programming idioms, patterns and ideas coming in the future.