How did generator-based coroutines differ from asyncio native coroutines?
PICTURE THIS: ASYNC / PROMISE
Simple meaning
Old asyncio used @asyncio.coroutine and yield from.
WHY — Generators instead of guessing?
Why interviewers care about Generators:
who only read docs from people who shipped.
and tied to Python work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Old asyncio used @asyncio.coroutine
and yield from.
- 2Native coroutines (async def)
are a separate type, faster to schedule, and cannot be mixed with yield.
- 3You may still wrap
generators via types.coroutine when talking to legacy libraries.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Old asyncio used @asyncio.coroutine and yield from. Native coroutines (async def) are a separate type, faster to schedule, and cannot be mixed with yield.