Funky, functional programming tools for Python
Python’s imperative and object oriented nature does not always make it easy to adopt a functional programming mindset.
Sure, it does have map and filter as built-in functions, but it’s hardly enough, and relies on keeping intermediate variables to chain easily.
This simple library aims at providing simple tools allowing to chain transformations on values and maintaining readability at the core of your code.
Installation
pip install python_funky or, add python_funky to your dependencies.
Usage
The main tool of this package is the Pipeline object. This objects is meant to be ephemeral and used to chain operations on another value.
from python_funky.Pipeline import Pipeline
intermediates = []
result = Pipeline([1, 2, 3]) \
.map(lambda x: x * x) \
.filter(lambda x: x % 2 != 0) \
.each(lambda x: intermediates.append(x)) \
.reduce(0, lambda x, acc: x + acc) \
.then(lambda x: range(0, x)) \
.then(sum) \
.get()
assert result == 45
assert intermediates == [1, 9]Limitations
Python uses object references everywhere. If the function you pass as parameters tend to have side effects, the library won’t help you avoid them.
Keep this in mind when composing your operations and functions, do as much pure functions as you can, everything should be fine.