python asyncio demo

As an AI language model, I am not able to run python code, but I can provide an example of how to use the asyncio module in Python.

Here's a simple example of using asyncio to asynchronously download multiple web pages:

import asyncio
import aiohttp

async def download_page(url):
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as response:
            return await response.text()

async def download_pages(urls):
    tasks = [asyncio.create_task(download_page(url)) for url in urls]
    results = await asyncio.gather(*tasks)
    return results

if __name__ == '__main__':
    urls = ['https://www.google.com', 'https://www.facebook.com', 'https://www.github.com']
    pages = asyncio.run(download_pages(urls))
    for page in pages:
        print(len(page))

In this example, we define two asynchronous functions: `download_page` and `download_pages`. `download_page` takes a URL as input and uses the aiohttp library to make an HTTP request and return the text content of the response. `download_pages` takes a list of URLs and creates a task for each URL to download the page asynchronously. We use `asyncio.gather` to wait for all the tasks to complete and return the results.

In the main function, we create a list of URLs and pass it to `download_pages`. The `asyncio.run` function is used to run the coroutine and block until it completes. Finally, we print the length of each downloaded page.

This is just a simple example of what you can do with asyncio. In practice, you can use it to build high-performance asynchronous applications that handle many concurrent connections or computations.