How do Python iterators compare in performance to lists?

How do Python iterators compare in performance to lists?

Python iterators are generally more memory efficient than lists because they generate items on the fly, rather than storing them all in memory.

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

Sure! If you're processing a large dataset and only need to access one item at a time, using an iterator can save memory.

Are there any performance benchmarks available for iterators vs lists?

Yes, benchmarks show that iterators can be faster for large datasets since they avoid the overhead of list creation and storage.

What are some common use cases for Python iterators?

Common use cases include reading large files, streaming data, and implementing custom data structures that require lazy evaluation.