What is the performance difference between map and filter in Python?

What is the performance difference between map and filter in Python?

The map function applies a given function to all items in an iterable, while filter creates a list of elements for which a function returns true. Generally, map can be faster because it processes items in a single pass.

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

Sure! For map, you can use it like this: result = list(map(lambda x: x * 2, [1, 2, 3])). For filter, you can do: result = list(filter(lambda x: x > 1, [1, 2, 3])).

Are there any scenarios where one is preferred over the other?

Yes, if you need to transform data, use map. If you need to filter data based on a condition, use filter. It depends on your specific use case.

What about their memory usage?

map and filter return iterators in Python 3, which means they are more memory efficient than creating lists. However, if you convert them to lists, they will consume more memory.