Welcome to FLPY’s documentation !
Functional, but Lazy Python
With FLPy, improve the readibility of your programs by leveraging functional programming.
Installation
FLPy has no external dependencies, and can be installed using pip:
pip install flpy
Examples
Given an input sequence x, print all, but the first, squared values that are divisible by 3 and collect the result into a list.
>>> x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Input sequence
# Usual way
>>> squares = map(lambda v: v * v, x)
>>> squares_div_by_3 = filter(lambda v: v % 3 == 0, squares)
>>> y = list(squares_div_by_3)[1:] # We skip one value
>>> for v in y:
... print(v)
36
81
>>> y
[36, 81]
# FLPy way
>>> from flpy import It
>>> y = (
... It(x)
... .map('|v| v * v') # You can also use lambda or any other callable
... .filter('|v| v % 3 == 0')
... .skip(1)
... .collect() # Collects the iterator into a list
... .for_each('|v| print(v)') # Yet it still returns the list to `y`
... )
36
81
>>> y
ItA<[36, 81]>
TODOs
Non-exhaustive list of ideas.
Implement parallel iterators
Add kwargs support for built-in functions
Increase # of examples
Improve docs
Write contribution guidelines
Setup mypy
Add unitary tests
Add benchmarks vs. pure Python to measure overhead
Add support for async iterators
…
Documentation
Python modules:
Contributor Guide
Work in progress..