In what cases is it advisable to use this process?

If it involves creating a separate process in Python (for example, using the multiprocessing module), then it is advisable to use this approach when you need to perform parallel computations that cannot efficiently run in a single thread due to the GIL (Global Interpreter Lock). This is especially relevant for CPU-intensive tasks such as processing large volumes of data, computational tasks, parallel image processing, or numerical calculations.

Example of using a process for parallel processing:

from multiprocessing import Process

def worker(num):
    print(f'Process {num} is running')

if __name__ == '__main__':
    processes = []
    for i in range(4):
        p = Process(target=worker, args=(i,))
        p.start()
        processes.append(p)
    for p in processes:
        p.join()

Thus, deploying a separate process is justified when you need to bypass GIL limitations and efficiently utilize multiple CPU cores.