How is multiprocessing and management of multiple processes implemented in Python?

In Python, multiprocessing is implemented using the multiprocessing module, which allows creating and managing separate processes, bypassing the GIL (Global Interpreter Lock) limitations.

Main features:

• Creating processes via Process.
• Sharing data between processes using queues (Queue), pipes (Pipe), or shared memory.
• Using process pools (Pool) for parallel execution of tasks.

Example of creating and starting a process:

from multiprocessing import Process

def worker(name):
    print(f'Process {name} started')

if __name__ == '__main__':
    p = Process(target=worker, args=('A',))
    p.start()
    p.join()

This way, multiple processes can be run in parallel and managed.