What are the differences between list comprehensions and generator expressions?

Can you explain the differences between list comprehensions and generator expressions in Python?

Sure! List comprehensions create a list in memory, while generator expressions return an iterator that generates items on the fly.

What are the performance implications of using one over the other?

Generator expressions are generally more memory efficient because they yield items one at a time, whereas list comprehensions create the entire list at once.

Can you give me an example of each?

Of course! A list comprehension looks like this: [x**2 for x in range(5)]. A generator expression would be: (x**2 for x in range(5)).

When would I prefer to use a generator expression?

You'd prefer a generator expression when working with large datasets or when you want to save memory, as it doesn't store the entire list in memory.