What common features do iterators and generators have in Python?

Iterators and generators in Python share several common features:

• Both support the iteration protocol — they can be used in for loops and other constructs expecting an iterable object.
• Lazy evaluation — elements are computed on demand, saving memory when working with large or infinite sequences.
• Support the next() function — iterators have a __next__() method, and generators automatically implement this method, allowing retrieval of the next element.

Example of a generator that is also an iterator:

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

gen = count_up_to(3)
print(next(gen))  # 1
print(next(gen))  # 2
print(next(gen))  # 3