Have you had experience using generators in your projects?

Yes, generators in Python are a convenient way to create iterators using a function that uses the yield keyword. They save memory because values are generated one at a time as needed, rather than creating the entire list at once.

Example of a generator that returns numbers from 1 to n:

def count_up_to(n):
    count = 1
    while count <= n:
        yield count
        count += 1

for number in count_up_to(5):
    print(number)

Generators are useful when working with large data, streams, or when lazy evaluation of a sequence is needed.