How is interaction and information exchange between separate processes implemented and realized?

Inter-process communication (IPC) and data exchange between separate processes in Python can be implemented in several ways:

1. Queues from the multiprocessing module — allow safe data transfer between processes.
2. Pipes — bidirectional channels for data exchange.
3. Shared objects — via multiprocessing.Value or multiprocessing.Array for shared data access.
4. Sockets — network connections that can be used for data exchange even on different machines.
5. Files — processes can read/write files for communication.
6. Semaphores, locks, events — for process synchronization.

Example of using a queue:

from multiprocessing import Process, Queue

def worker(q):
    q.put('Data from process')

if __name__ == '__main__':
    q = Queue()
    p = Process(target=worker, args=(q,))
    p.start()
    print(q.get())  # get data from child process
    p.join()

The choice of method depends on the task, data volume, and nature.