協程和異步編程是Python中處理并發和異步任務的重要概念。協程是一種輕量級的并發編程方式，它允許程序在執行過程中暫停和恢復，以便處理其他任務。異步編程模型則是基于協程的一種編程風格，它通過使用非阻塞的異步IO操作來提高程序的并發性能。yRP28資訊網——每日最新資訊28at.com

yRP28資訊網——每日最新資訊28at.com

Python中的異步編程主要依賴于`asyncio`模塊。`asyncio`提供了一套用于編寫異步代碼的工具和框架，包括協程、事件循環和異步IO操作等。yRP28資訊網——每日最新資訊28at.com

yRP28資訊網——每日最新資訊28at.com

代碼示例：yRP28資訊網——每日最新資訊28at.com

1. 使用`async`和`await`定義協程函數：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def my_coroutine():    await asyncio.sleep(1)    print("Coroutine executed")asyncio.run(my_coroutine())

2. 使用`asyncio.create_task()`并發運行多個協程：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def coroutine1():    await asyncio.sleep(1)    print("Coroutine 1 executed")async def coroutine2():    await asyncio.sleep(2)    print("Coroutine 2 executed")async def main():    task1 = asyncio.create_task(coroutine1())    task2 = asyncio.create_task(coroutine2())    await asyncio.gather(task1, task2)asyncio.run(main())

3. 使用`asyncio.wait()`等待多個協程完成：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def coroutine1():    await asyncio.sleep(1)    print("Coroutine 1 executed")async def coroutine2():    await asyncio.sleep(2)    print("Coroutine 2 executed")async def main():    tasks = [coroutine1(), coroutine2()]    done, pending = await asyncio.wait(tasks)    for task in done:        print(f"Task {task} completed")asyncio.run(main())

4. 使用`asyncio.Lock()`實現協程間的互斥訪問：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def counter(lock):    async with lock:        for _ in range(5):            print("Counting")            await asyncio.sleep(1)async def main():    lock = asyncio.Lock()    tasks = [counter(lock) for _ in range(3)]    await asyncio.gather(*tasks)asyncio.run(main())

5. 使用`asyncio.Queue()`實現協程間的消息傳遞：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def producer(queue):    for i in range(5):        await queue.put(i)        print(f"Produced: {i}")        await asyncio.sleep(1)async def consumer(queue):    while True:        item = await queue.get()        print(f"Consumed: {item}")        await asyncio.sleep(2)async def main():    queue = asyncio.Queue()    producer_task = asyncio.create_task(producer(queue))    consumer_task = asyncio.create_task(consumer(queue))    await asyncio.gather(producer_task, consumer_task)asyncio.run(main())

6. 使用`asyncio.TimeoutError`設置協程的超時：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def my_coroutine():    await asyncio.sleep(2)    print("Coroutine executed")async def main():    try:        await asyncio.wait_for(my_coroutine(), timeout=1)    except asyncio.TimeoutError:        print("Coroutine timed out")asyncio.run(main())

7. 使用`asyncio.run_in_executor()`在協程中執行阻塞的同步操作：yRP28資訊網——每日最新資訊28at.com

import asynciodef sync_operation():    # 阻塞的同步操作    return "Sync result"async def main():    loop = asyncio.get_running_loop()    result = await loop.run_in_executor(None, sync_operation)    print(f"Result: {result}")asyncio.run(main())

8. 使用`aiohttp`庫進行異步HTTP請求：yRP28資訊網——每日最新資訊28at.com

import asyncioimport aiohttpasync def fetch_data(url):    async with aiohttp.ClientSession() as session:        async with session.get(url) as response:            return await response.text()async def main():    url = "https://api.example.com/data"    data = await fetch_data(url)    print(f"Data: {data}")asyncio.run(main())

9. 使用`asyncio.sleep()`模擬異步計時器：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def timer(duration):    await asyncio.sleep(duration)    print(f"Timer finished after {duration} seconds")async def main():    tasks = [timer(1), timer(2), timer(3)]    await asyncio.gather(*tasks)asyncio.run(main())

10. 使用`asyncio`實現并發的文件IO操作：yRP28資訊網——每日最新資訊28at.com

import asyncioasync def read_file(file):    async with asyncio.open_file(file, "r") as f:        contents = await f.read()        print(f"Read from {file}: {contents}")async def write_file(file, data):    async with asyncio.open_file(file, "w") as f:        await f.write(data)        print(f"Wrote to {file}")async def main():    file = "data.txt"    await write_file(file, "Hello, world!")    await read_file(file)asyncio.run(main())

yRP28資訊網——每日最新資訊28at.com

這些場景代碼展示了協程和異步編程的使用方式。通過使用`asyncio`模塊和相關的工具，我們可以輕松地編寫并發和異步任務處理的代碼，提高程序的性能和響應能力。yRP28資訊網——每日最新資訊28at.com

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