What are the differences between iterators and generators?

What are the differences between iterators and generators?

Iterators are objects that implement the iterator protocol, allowing traversal of a collection. Generators are a simpler way to create iterators using the yield keyword.

Can you explain how generators work in Python?

Sure! Generators in Python are defined using functions and the yield statement. When called, they return an iterator that can be iterated over, producing values one at a time.

Are there any performance benefits to using generators?

Yes, generators are more memory efficient than lists because they yield items one at a time and do not store the entire collection in memory.

Can you give me an example of an iterator and a generator?

Certainly! An iterator can be created using a class with __iter__() and __next__() methods. A generator can be created using a function with yield, like this: def count_up_to(n): for i in range(1, n+1): yield i.