|Build Status| |Code Coverage|
Copyright (C) J. Férard 2019
YAMFT is another functional library for Python.
YAMFT doesn't try to mimic Haskell, but rather tries to improve Python functional skills. It targets two main domains:
- list and dict comprehensions: YAMFT aims to provide functions that will help write more powerful list and dict comprehensions.
- map: YAMFT aims to provide helpers to write maps.
But the main goal of YAMFT is... fun. Python is not a functional language, but it's sometimes amusing to use functional idioms to express some lists.
List comprehension are very powerful, and sometimes we want them to be even more powerful. This leads to some weird constructions. YAMFT aims to provide helpers for writing those list comprehensions.
It should be obvious for everyone that Python is not a pure functional language like Haskell, and that the Python code is often more readable and efficient when we do not use the functional paradigm. Tough, I find that functional programming is sometimes beautiful.
Functional style in Python is often cumbersome:
>>> map(lambda x:x*x*x, range(5)) [0, 1, 8, 27, 64]
is worse than:
>>> [x*x*x for x in range(5)] [0, 1, 8, 27, 64]
But this is more disputable when you compare:
>>> [str(x) for x in range(5)] ['0', '1', '2', '3', '4']
with:
>>> list(map(str, range(5))) ['0', '1', '2', '3', '4']
I prefer the latter. The main issue is the lambda syntax. Hence, YAMFT aims to provide plug and play curryfied functions to avoid lambdas.
Needs Python 3.7
Just git clone the repo:
> git clone https://github.com/jferard/yamft.git> pytest --doctest-modules
> pytest test/*Functions are not first class citizens in Python. You can't give them a docstring when they are defined by an assignment (e.g. fst = operator.itemgetter(0)). YAMFT has a special yamft_help function to handle this case:
>>> yamft_help(fst) # doctest:+ELLIPSIS Help on fst: ...