Generators in Python are a way to create iterators using the yield keyword. Here’s an example:

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 memory-efficient and allow you to work with large datasets without loading them entirely into memory.

python -c "def count_up_to(n):\n    count = 1\n    while count <= n:\n        yield count\n        count += 1\nfor number in count_up_to(5):\n    print(number)"