map, filter, reduce & zip — Functional Programming — Free Python Tutorial

TL;DR: Learn map, filter, reduce & zip — Functional Programming in Python with a free, beginner-friendly tutorial, examples and practice for Indian students…

map, filter, reduce & zip — Functional Programming in Python

Python supports functional programming through map(), filter(), reduce(), and zip(). These eliminate explicit for loops for common transformation and aggregation patterns.

map(fn, iterable) transforms every element. filter(fn, iterable) keeps elements where fn returns True. Both return lazy iterators.

functools.reduce(fn, iterable) accumulates: applies fn to first two elements, then to the result and next element, and so on. zip() pairs elements from multiple iterables together.

import functools
squares = list(map(lambda x: x**2, [1,2,3,4]))      # [1,4,9,16]
evens   = list(filter(lambda x: x%2==0, range(10))) # [0,2,4,6,8]
total   = functools.reduce(lambda a,b: a+b, [1..10]) # 55
pairs   = list(zip([1,2,3], ['a','b','c']))           # [(1,'a'),...]

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