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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.

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A built distribution format (.whl) that allows faster installation of Python packages by avoiding the need for compilation.
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A variable that maintains separate values for each execution context, enabling implicit state passing in async code without global variables.
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