How does itertools compare to list comprehensions?

Can you explain how itertools compares to list comprehensions in Python?

Sure! Both itertools and list comprehensions are used for creating lists, but they have different use cases and performance characteristics.

What are the main advantages of using itertools?

Itertools is more memory efficient for large datasets since it generates items on-the-fly, while list comprehensions create the entire list in memory.

Are there specific scenarios where one is better than the other?

Yes, for simple transformations, list comprehensions are often more readable. For complex iterations or large data, itertools is preferable.

Can you give an example of both?

Absolutely! For a list comprehension, you might write [x**2 for x in range(10)]. With itertools, you could use itertools.starmap(lambda x: x**2, range(10)).