What are the performance differences between lists and generators in Python?

What are the performance differences between lists and generators in Python?

Lists in Python store all their elements in memory, while generators yield items one at a time, which can save memory.

Can you give me an example of when to use a generator instead of a list?

Sure! Use a generator when processing large datasets, like reading a file line by line, to avoid memory overload.

How does the speed compare when iterating over a list versus a generator?

Iterating over a list is generally faster since all elements are in memory, but generators can be more efficient for large data.

Are there any downsides to using generators?

Yes, generators can only be iterated once. If you need to access the data multiple times, a list might be better.