Iterators are objects in Python that represent a stream of data, and they implement the __iter__ and __next__ methods. They allow iteration over a sequence of elements. Generators, on the other hand, are a special kind of iterator which are created using a function that contains one or more yield expressions. Generators can pause and resume execution, allowing for the generation of a sequence of values over time, as opposed to generating all the values at once.
Example:
# Iterator example
iter_obj = iter([1, 2, 3])
print(next(iter_obj)) # Output: 1
print(next(iter_obj)) # Output: 2
# Generator example
# The following function is a generator function
def my_generator():
yield 1
yield 2
yield 3
gen_obj = my_generator()
print(next(gen_obj)) # Output: 1
print(next(gen_obj)) # Output: 2
