Py Iterators — Free Python Tutorial

TL;DR: Learn Py Iterators in Python with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.

Py Iterators in Python

An iterator implements __iter__() and __next__() — the iterator protocol. Every for loop calls these behind the scenes. Iterators produce values lazily (one at a time), saving memory for large sequences.

Custom iterators let you create objects that behave like lists or ranges but compute values on demand. This is the foundation of Python's memory efficiency with large data.

iter() and next() are built-in functions that call __iter__ and __next__. Once exhausted, an iterator raises StopIteration — the for loop catches this to know when to stop.

class MyIter:
    def __iter__(self): return self    # required
    def __next__(self):
        # return next value OR raise StopIteration
        raise StopIteration

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