How can I use iterators in data science?

How can I use iterators in data science?

Iterators are useful for handling large datasets efficiently. They allow you to iterate through data without loading everything into memory.

Can you give me an example of an iterator in Python?

Sure! In Python, you can use the iter() function to create an iterator from a list. For example: my_list = [1, 2, 3]; my_iter = iter(my_list).

What are the benefits of using iterators over lists?

Iterators are more memory efficient since they yield items one at a time, which is especially beneficial for large datasets.

Are there any libraries that support iterators?

Yes, libraries like pandas and numpy provide iterator support for handling large data structures efficiently.