Asyncio can be used to perform asynchronous HTTP requests, allowing multiple requests to be processed concurrently without blocking the execution flow. This is particularly useful for web scraping, API interactions, and other network-bound tasks.
import asyncio
import aiohttp
async def fetch(session, url):
async with session.get(url) as response:
return await response.text()
async def main():
async with aiohttp.ClientSession() as session:
html = await fetch(session, "https://example.com")
print(html)
asyncio.run(main())
Asyncio provides tools for asynchronous file handling, allowing you to read and write files without blocking the execution flow. This is useful for applications that need to process large files or perform frequent file I/O operations.
import asyncio
async def read_file(filename):
async with aiofiles.open(filename, 'r') as f:
contents = await f.read()
print(contents)
async def main():
await read_file('example.txt')
asyncio.run(main())
Asyncio is used in various real-world applications, including web servers, chat applications, and data processing systems. These examples demonstrate the power and flexibility of asynchronous programming for building high-performance, scalable applications.
import asyncio
import aiohttp
async def fetch_status(session, url):
async with session.get(url) as response:
return response.status
async def main():
async with aiohttp.ClientSession() as session:
tasks = [fetch_status(session, f"https://example.com/{i}") for i in range(10)]
statuses = await asyncio.gather(*tasks)
print(statuses)
asyncio.run(main())