What are the performance benchmarks for iterables and iterators in Python?

What are the performance benchmarks for iterables and iterators in Python?

In Python, iterables and iterators have different performance characteristics. Iterators are generally more memory efficient because they yield items one at a time, while iterables can consume more memory if they generate all items at once.

Can you give me an example of when to use an iterator over an iterable?

Sure! Use an iterator when dealing with large datasets where you want to minimize memory usage, like reading a large file line by line.

How do I create a custom iterator in Python?

You can create a custom iterator by defining a class with __iter__() and __next__() methods. This allows you to control the iteration process.

What are some common use cases for iterators?

Common use cases include processing large data streams, implementing custom data structures, and creating infinite sequences.