All 15 Async Generators & Async Context Managers questions
More in Async Generators & Async Context Managers
What is an async generator, and how does it differ from a regular generator? What is an async context manager, and which two dunder methods does it require? How do you write an async context manager more concisely using @contextlib.asynccontextmanager? How does an async generator interact with try/finally for guaranteed cleanup, similar to regular generators? How do you build an async generator pipeline, chaining one async generator's output into another, like a synchronous generator pipeline? How do async comprehensions work, combining 'async for' directly inside a list/set/dict comprehension? How would you implement a custom async iterator class from scratch, without using an async generator function? How do you handle backpressure when an async generator produces items faster than the consumer can process them? How would you implement timeout handling for an async generator's individual yields, so a stalled source doesn't hang the consumer forever? How do async generators interact with asyncio.Queue to implement a producer-consumer pattern across separate tasks?
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How do you consume an async generator using 'async for'?

Beginner

Answer

'async for' is the asynchronous equivalent of a regular 'for' loop — it awaits each call to the generator's __anext__() method, pausing until the next value is ready, and must itself be used inside an 'async def' function.
async def main():
    async for page in fetch_pages():
        print(page)

asyncio.run(main())
Real-world example Processing streamed results from an async API client one item at a time as they arrive.

Common follow-ups: Can 'async for' be used outside of an async function?

Concurrency (asyncio/threading/multiprocessing)
All 15 Async Generators & Async Context Managers questions