Master Python iterators and unlock memory-efficient, dynamic programming techniques with this hands-on tutorial.
Introduction: Why Should You Learn Iterators?
Imagine being handed an entire buffet when all you want is a single plate of biryani. Loading all that food onto your table would overwhelm you. Iterators in Python work like a smart server — they bring you just one dish at a time, making sure your plate isn’t overloaded.
If you are non-member, click here to read the full article.
This concept is especially useful in programming, where you often deal with large datasets or continuous streams of data. In this tutorial, we’ll explore Python iterators step by step so that you can integrate them into your projects and make your code both efficient and elegant.
Step 1: What Are Iterators in Python?
An iterator is simply an object in Python that lets you access elements of a collection (like a list or a tuple) one at a time, without loading the entire collection into memory.
How It Works:
An iterator must implement two methods:
__iter__()– Returns the iterator object itself.
