Difference Between map, filter, and reduce in Python

map(), filter(), and reduce() are functional programming tools in Python used for processing iterables like lists

Map : It applies each element from the iterables and returns the new iterables

map(function, iterable)

numbers = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x ** 2, numbers))
print(squared)  # Output: [1, 4, 9, 16, 25]        

Use case : When you want to change or modify the elements from the list

Filter: Used to filter the elements from the list based on the certain condition function if its TRUE

filter(function, iterable)

numbers = [1, 2, 3, 4, 5, 6]
even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
print(even_numbers)  # Output: [2, 4, 6]        

Use case : When you want to extract elements that meet a condition.

NOTE : Filter and Map returns in obj that needs to convert to the iterable format like list tuple etc.

Reduce: Reduces the iterable to a single value by applying a function cumulatively.

reduce(function, iterable)

from functools import reduce

numbers = [1, 2, 3, 4, 5]
product = reduce(lambda x, y: x * y, numbers)
print(product)  # Output: 120 (1*2*3*4*5)        

Use case: When you need to combine all elements into a single result (e.g., sum, product, etc.).