Impara Task Scheduling and Awaiting Results | Working with Asyncio Tasks

When working with multiple asynchronous operations, you often need to run several coroutines at the same time and collect their results once all are finished. The asyncio.gather function is designed for this purpose. It takes multiple coroutine objects and schedules them to run concurrently. When you await the result of asyncio.gather, it waits for all the coroutines to complete and returns their results as a list, in the same order as the coroutines were provided. This makes it easy to manage and use the results of several asynchronous tasks together.


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import asyncio

async def fetch_data(n):
    await asyncio.sleep(n)
    return f"Data {n}"

async def main():
    results = await asyncio.gather(
        fetch_data(1),
        fetch_data(2),
        fetch_data(3)
    )
    for result in results:
        print(result)

await main()

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Sezione 2. Capitolo 2

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Suggested prompts:

Can you explain what happens if one of the coroutines raises an exception?

How does `asyncio.gather` differ from `asyncio.wait`?

Can I use `asyncio.gather` with a dynamic list of coroutines?

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              12345678910111213141516
            
import asyncio

async def fetch_data(n):
    await asyncio.sleep(n)
    return f"Data {n}"

async def main():
    results = await asyncio.gather(
        fetch_data(1),
        fetch_data(2),
        fetch_data(3)
    )
    for result in results:
        print(result)

await main()

Tutto è chiaro?

Grazie per i tuoi commenti!

Sezione 2. Capitolo 2