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gister123 | 11 months ago

Python async has been a big mess. I haven’t looked back since moving to a Go + GRPC + Protobuf stack. I would highly recommend it.

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jt_b|11 months ago

Love Go (and async python, for different reasons) but miss me with the gRPC unless you are building hardened internal large enterprise systems. We adopted it at a late stage startup for a microservices architecture, and the pain is immense.

So many issues with type duplication due to weird footguns around the generated types. Lots of places where we needed to essentially duplicate a model due to the generated types not allowing us to modify or copy parts of a generated type's value and so forth.

qwertox|11 months ago

I really enjoy Python's asyncio. I'm a big fan of aiohttp and the entire aio* ecosystem.

Then there's Rust's Tokio for the things that need performance.

linkdd|11 months ago

You should take a look at AnyIO, which unifies asyncio and Trio (it can use both event loops as a backend).

Two big deals of Trio and AnyIO are channels (similar to Go's channels), the ability to return data from starting a task in a nursery/task group:

    async def my_consumer(task_status = anyio.TASK_STATUS_IGNORED):
        tx, rx = anyio.create_memory_object_stream()
        task_status.started(tx)

        async for message in rx:
            ...

    async def my_producer(tx):
        await tx.send("hello")
        await tx.send("world")
        await tx.aclose()

    async def main():
        async with anyio.create_task_group() as tg:
            tx = await tg.start(my_consumer)
            tg.start_soon(my_producer, tx)