All 15 Async Generators & Async Context Managers questions
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How do you consume an async generator using 'async for'? 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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What is an async generator, and how does it differ from a regular generator?

Beginner

Answer

An async generator is a function defined with 'async def' that uses 'yield' inside it, producing an object supporting the asynchronous iteration protocol (__anext__) instead of the regular one — it lets each item be produced after an 'await', unlike a regular generator which is fully synchronous.
async def fetch_pages():
    for i in range(3):
        await asyncio.sleep(0.1)  # simulate async work
        yield f"page-{i}"
Real-world example Streaming paginated API results one page at a time, awaiting each network call before yielding the next page.

Common follow-ups: How do you actually consume an async generator's yielded values?

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