What is the difference between reduce and map in Python?

What is the difference between reduce and map in Python?

In Python, map applies a function to all items in an iterable, while reduce applies a function cumulatively to the items.

Can you give me an example of how to use both?

Sure! For map, you can use it like this: list(map(lambda x: x*2, [1, 2, 3])) which returns [2, 4, 6]. For reduce, you would do: from functools import reduce; reduce(lambda x, y: x + y, [1, 2, 3]) which returns 6.

When should I use reduce instead of map?

Use reduce when you need to combine items into a single value, like summing or multiplying, while map is for transforming items.

Are there any performance differences between them?

Yes, map can be faster for transformations since it processes items in parallel, while reduce can be slower due to its cumulative nature.