In what cases and how can asynchronous task execution be implemented in a system?

Asynchronous task execution allows running operations that may take time (e.g., network requests, file reading) without blocking the main thread of the program.

In Python, asynchronous programming can be implemented in several ways:

1. asyncio module — allows writing asynchronous code using async/await.

Example:

import asyncio

async def fetch_data():
    print("Starting data download")
    await asyncio.sleep(2)  # simulate delay
    print("Data loaded")

async def main():
    await asyncio.gather(fetch_data(), fetch_data())

asyncio.run(main())

2. Threads (threading) — for running tasks in separate threads.

3. Processes (multiprocessing) — for parallel execution in separate processes.

Asynchronous programming is useful when you need to improve application responsiveness or efficiently utilize waiting time for I/O operations.