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
Resource:
Reactivizer@reactivizerHow 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
#Javascript00:30 AM - 10 Jan 2020
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.
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