Do you plan to use asynchrony for CPU-intensive tasks?

Asynchronous programming in Python is most often used for input/output (I/O) operations to avoid blocking the main thread. For CPU-intensive tasks, asyncio-based asynchrony does not provide a performance boost due to the GIL (Global Interpreter Lock).

In such cases, it is better to use multiprocessing, which launches multiple processes and bypasses the GIL limitation, or implement computations at the C/C++ extension level or use libraries that support parallelism.

Example of using multiprocessing for a CPU-intensive task:

from multiprocessing import Pool

def cpu_heavy_task(x):
    # Some heavy computational task
    return x * x

if __name__ == '__main__':
    with Pool(4) as p:
        results = p.map(cpu_heavy_task, range(10))
    print(results)