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Python Intermediate

What is Python Iterator Protocol?

The interface requiring __iter__() and __next__() methods, enabling objects to be used in for loops and other iteration contexts.

The iterator protocol is fundamental to Python's for loop, comprehensions, unpacking, and many built-in functions. An iterable implements __iter__() returning an iterator. An iterator implements __next__() returning the next value or raising StopIteration. Generators automatically implement this protocol. Custom iterators enable lazy evaluation of large datasets, infinite sequences, and custom traversal patterns. Built-in itertools module provides powerful iterator combinators (chain, islice, groupby, product). Understanding the protocol explains why range() is memory-efficient and how custom objects integrate with Python's iteration ecosystem.

Related Terms

List Comprehension
A concise syntax for creating new lists by applying an expression to each item in an existing iterable.
Walrus Operator
The := operator that assigns a value to a variable as part of an expression, introduced in Python 3.8.
Python Property
A built-in decorator that lets you define methods that behave like attributes, enabling controlled access to instance data.
ABC (Abstract Base Class)
A class that defines a common interface for subclasses by declaring abstract methods that must be implemented.
Python Package
A directory containing Python modules and an __init__.py file, providing a way to organize and distribute reusable code.
NumPy
A fundamental library for numerical computing in Python, providing efficient multi-dimensional arrays and mathematical operations.
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