import asyncio : Python library that provides support for writing asynchronous code using coroutines, which are a special kind of function that can be paused and resumed, allowing other tasks to run in the meantime.

  

asyncio is a Python library that provides support for writing asynchronous code using coroutines, which are a special kind of function that can be paused and resumed, allowing other tasks to run in the meantime. Asynchronous programming is particularly useful when dealing with I/O-bound operations, such as network requests or reading/writing to files, where waiting for the operation to complete would otherwise block the entire program.

Here are some key concepts and components of asyncio:

1. Coroutines:

• In the context of asyncio, coroutines are functions defined with the async keyword. They can be paused with the await keyword, allowing other coroutines to run in the meantime.

• Example:

2. import asyncio async def my_coroutine(): print("Start") await asyncio.sleep(2) # Simulate an asynchronous operation print("End") asyncio.run(my_coroutine())

1. Event Loop:

   • The core of asyncio is the event loop. It manages and schedules the execution of coroutines, tasks, and callbacks.
   • The asyncio.run() function is used to run the main coroutine in a simple program. In more complex applications, you might create an event loop manually and run it using loop.run_until_complete().

2. Tasks:

• A task is a higher-level abstraction that wraps a coroutine and allows it to be scheduled and executed by the event loop.

• Tasks can be created using asyncio.create_task().

import asyncio

async def my_coroutine():

    print("Start")

    await asyncio.sleep(2)

    print("End")

async def main():

    task = asyncio.create_task(my_coroutine())

    await task

asyncio.run(main())

1. Future:

   • A Future represents the result of an asynchronous operation that may not have completed yet. It is a low-level building block used by asyncio to manage the lifecycle of asynchronous tasks.
   • You can use asyncio.ensure_future() to create a Future.

2. Asynchronous I/O:

• asyncio provides various functions to perform asynchronous I/O operations, such as asyncio.sleep() for sleeping without blocking the event loop, and asyncio.gather() for concurrently executing multiple coroutines.

import asyncio async def foo(): await asyncio.sleep(1) print("Foo") async def bar(): await asyncio.sleep(2) print("Bar") async def main(): await asyncio.gather(foo(), bar()) asyncio.run(main())

In summary, asyncio is a powerful tool for writing asynchronous code in Python, especially when dealing with I/O-bound operations. It enables efficient concurrency by allowing multiple tasks to run concurrently within a single-threaded event loop.

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