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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

Generator
A function that yields values one at a time using the yield keyword, enabling memory-efficient iteration over large datasets.
Lambda Function
An anonymous, single-expression function defined inline using the lambda keyword.
GIL (Global Interpreter Lock)
A mutex in CPython that allows only one thread to execute Python bytecode at a time, limiting true parallelism.
Python Context Variable
A variable that maintains separate values for each execution context, enabling implicit state passing in async code without global variables.
Pandas
A powerful data analysis and manipulation library providing DataFrames and tools for working with structured data.
Comprehension
A concise syntax pattern for creating collections by transforming and filtering items from iterables.
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