Forbidden Functional Programming in Python.
Project description
forbiddenfp
Summary
Functional-Programming (FP) in a forbidden way:
Turn arbitrary function into postfix notation in favor of function chaining.
And the library provides many useful patches for builtin/itertools functions.
Install
Compatible with Python 3.7+
pip install forbiddenfp
Examples
# objects are already patched at import time
import forbiddenfp
"abc".print().len() # print out "abc", then return 3
"abc".then(lambda s: s * 2).filter(lambda s: s == "b").join() # "bb"
# A more complex one (examples/word_count.py)
("./lorem_ipsum.txt"
.with_context(open, lambda path, f: f.read().also(print(f"Reading {path}")))
.then(lambda s: s.split(" "))
.counter()
.print())
See more ./examples
.
Why Functional Programming
Separate out control structs (which are functions provided by library) from business logic (which are lambda functions supplied to fill the control structs).
So we can have a clearer scope, and separate concerns, when we want to change on either side of things.
if ...
andif ... else ...
are modeled by Maybe/Either monads.while ...
andfor ... in ...
are generator/iterators. Additionally, stop-early behavior istakewhile
of the sequence.
Philosophically, think more in def transform(old_state) -> new_state
, rather than state = modify(state)
.
Warning
This library patches builtin object
(and hence ALL classes),
with hacks around CPython API (provided by forbiddenfruit),
so consider this NSFW (Not Safe For Work).
Known Issues
None
doesn't work well with chained keyword arguments.
import forbiddenfp
None.apply(print) # works
None.apply(func=print) # doesn't work
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