The yield keyword is used to create generators in Python. Generators are objects that allow you to iterate over a sequence of values without creating a list in memory.

2. What is the difference between a list and a generator in Python?

Lists are objects that allow you to store a sequence of values in memory. Generators are objects that allow you to iterate over a sequence of values without creating a list in memory.

3. How do you create a generator in Python?

You create a generator by using the yield keyword in a function.

4. What are the benefits of using generators in Python?

Generators are much more memory efficient than lists because they do not store all the values in memory at once. They also allow you to iterate over a sequence of values without having to wait for the entire list to be created.

5. What is the difference between a generator and a list comprehension in Python?

A generator is an object that allows you to iterate over a sequence of values without creating a list in memory. A list comprehension is a way of creating a list by iterating over a sequence of values.

6. How do you iterate over a generator in Python?

You can iterate over a generator by using the next() function.

7. What is the difference between a generator function and a generator expression in Python?

A generator function is a function that uses the yield keyword to create a generator. A generator expression is a way of creating a generator by using an expression.

8. What are the benefits of using generator expressions in Python?

Generator expressions are more memory efficient than list comprehensions because they do not store all the values in memory at once. They also allow you to iterate over a sequence of values without having to wait for the entire list to be created.

9. What is the difference between a generator and an iterator in Python?

A generator is an object that allows you to iterate over a sequence of values without creating a list in memory. An iterator is an object that allows you to iterate over a sequence of values, but it does not store all the values in memory at once.

10. How do you create an iterator in Python?

You create an iterator by using the iter() function.