When should I use map and filter in Python?

When should I use map and filter in Python?

You should use map when you want to apply a function to every item in an iterable, and filter when you want to select items based on a condition.

Can you give me an example of using both?

Sure! For map, you could use it to square numbers: squared = list(map(lambda x: x**2, numbers)). For filter, you might filter out even numbers: odds = list(filter(lambda x: x % 2 != 0, numbers)).

Are there any performance considerations I should be aware of?

Yes, map and filter can be more efficient than list comprehensions for large datasets, but readability is also important.

What about using list comprehensions instead?

List comprehensions are often more readable and can combine both mapping and filtering in one line, like this: [x**2 for x in numbers if x % 2 != 0].