Pupli

pyinstaller -F --onedir Main.py
pyinstaller -F --onedir 1.py
pyinstaller -F --onedir 2.py

References
https://stackoverflow.com/questions/47610050/importing-python-modules-from-a-select-location

import psutil
pid = 12345
if psutil.pid_exists(pid):
    print("a process with pid %d exists" % pid)
else:
    print("a process with pid %d does not exist" % pid)

References
https://stackoverflow.com/questions/568271/how-to-check-if-there-exists-a-process-with-a-given-pid-in-python

import os
import signal

os.kill(pid, signal.SIGTERM) #or signal.SIGKILL

References
https://stackoverflow.com/questions/17856928/how-to-terminate-process-from-python-using-pid

A pipe can have only two endpoints. Hence, it is preferred over queue when only two-way communication is required.

import multiprocessing


def sender(conn: multiprocessing.connection.Connection, msgs: list):
    """
    function to send messages to other end of pipe
    """
    for msg in msgs:
        conn.send(msg)
        print("Sent the message: {}".format(msg))
    conn.close()


def receiver(conn: multiprocessing.connection.Connection):
    """
    function to print the messages received from other
    end of pipe
    """
    while 1:
        msg = conn.recv()
        if msg == "END":
            break
        print("Received the message: {}".format(msg))


if __name__ == "__main__":
    # messages to be sent
    msgs = ["hello", "hey", "hru?", "END"]

    # creating a pipe
    parent_conn, child_conn = multiprocessing.Pipe()

    # creating new processes
    p1 = multiprocessing.Process(target=sender, args=(parent_conn, msgs))
    p2 = multiprocessing.Process(target=receiver, args=(child_conn,))

    # running processes
    p1.start()
    p2.start()

    # wait until processes finish
    p1.join()
    p2.join()

References
https://www.geeksforgeeks.org/multiprocessing-python-set-2/

A simple way to communicate between process with multiprocessing is to use a Queue to pass messages back and forth. Any Python object can pass through a Queue.

import multiprocessing


def square_list(mylist: list, q: multiprocessing.Queue):
    """
    function to square a given list
    """
    # append squares of mylist to queue
    for num in mylist:
        q.put(num * num)


def print_queue(q: multiprocessing.Queue):
    """
    function to print queue elements
    """
    print("Queue elements:")
    while not q.empty():
        print(q.get())
    print("Queue is now empty!")


if __name__ == "__main__":
    # input list
    mylist = [1, 2, 3, 4]

    # creating multiprocessing Queue
    q = multiprocessing.Queue()

    # creating new processes
    p1 = multiprocessing.Process(target=square_list, args=(mylist, q))
    p2 = multiprocessing.Process(target=print_queue, args=(q,))

    # running process p1 to square list
    p1.start()
    p1.join()

    # running process p2 to get queue elements
    p2.start()
    p2.join()

References
https://www.geeksforgeeks.org/multiprocessing-python-set-2/

multiprocessing module provides Array and Value objects to share data between processes.
Array: a ctypes array allocated from shared memory.
Value: a ctypes object allocated from shared memory.

import multiprocessing 

def square_list(mylist, result, square_sum): 
  """ 
  function to square a given list 
  """
  # append squares of mylist to result array 
  for idx, num in enumerate(mylist): 
    result[idx] = num * num 

  # square_sum value 
  square_sum.value = sum(result) 

  # print result Array 
  print("Result(in process p1): {}".format(result[:])) 

  # print square_sum Value 
  print("Sum of squares(in process p1): {}".format(square_sum.value)) 

if __name__ == "__main__": 
  # input list 
  mylist = [1,2,3,4] 

  # creating Array of int data type with space for 4 integers 
  result = multiprocessing.Array('i', 4) 

  # creating Value of int data type 
  square_sum = multiprocessing.Value('i') 

  # creating new process 
  p1 = multiprocessing.Process(target=square_list, args=(mylist, result, square_sum)) 

  # starting process 
  p1.start() 

  # wait until process is finished 
  p1.join() 

  # print result array 
  print("Result(in main program): {}".format(result[:])) 

  # print square_sum Value 
  print("Sum of squares(in main program): {}".format(square_sum.value)) 

References
https://www.geeksforgeeks.org/multiprocessing-python-set-2/