What are the differences between Python comprehensions and generators?

What are the differences between Python comprehensions and generators?

Python comprehensions are concise ways to create lists, sets, or dictionaries, while generators yield items one at a time.

Can you give me an example of a list comprehension?

Sure! A list comprehension to create a list of squares would look like this: [x**2 for x in range(10)].

And how would that look as a generator?

As a generator, it would be: (x**2 for x in range(10)). You can iterate over it to get the squares one by one.

What are the performance differences between them?

Generators are more memory efficient for large datasets since they yield items one at a time, while comprehensions create the entire list in memory.