Web Reference: Dec 4, 2025 · In Python, iterators can be created using both regular functions and generators. Generators are similar to normal functions, but instead of return, they use the yield keyword. This allows the function to pause, save its state, and resume later making generators efficient and memory-friendly. Learn how Python’s iterator protocol, generators, and the itertools module work together. You’ll write generator functions with yield, build pipelines using generator expressions, and apply these patterns to asynchronous iteration. Generator Expressions Similar to list comprehensions, you can create generators using generator expressions with parentheses instead of square brackets:
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