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Junior — Middle

Have you experienced working with multithreading or asynchronous programming in Python in your projects?

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Answer from AI

In Python, the threading module is often used for multithreading, allowing multiple threads to run within a single process. However, due to the GIL (Global Interpreter Lock), threads do not execute in parallel on multi-core systems, which limits their efficiency for CPU-intensive tasks.

For asynchronous programming, the asyncio module is used, enabling the writing of non-blocking code with coroutines. This is especially useful for I/O-bound tasks, such as network requests or file operations.

Example of using asyncio:

import asyncio

async def say_hello():
    print('Hello')
    await asyncio.sleep(1)
    print('World')

asyncio.run(say_hello())

Thus, in projects, I used threading for simple parallel tasks and asyncio for efficient handling of asynchronous operations.