Functional-Style Python

Python supports functional-style tools alongside its object-oriented core: functions as values, lambda for small anonymous functions, and map/filter for transforming sequences.

numbers = [1, 2, 3, 4, 5]

doubled = list(map(lambda n: n * 2, numbers))
evens = list(filter(lambda n: n % 2 == 0, numbers))

In practice, most Python style guides prefer list comprehensions ([n * 2 for n in numbers]) over map/lambda for readability — worth knowing map/filter exist since they appear in other people's code, but comprehensions are the more idiomatic default in this language.