Passing data between separately running Python scripts

Question

If I have a python script running (with full Tkinter GUI and everything) and I want to pass the live data it is gathering (stored internally in arrays and such) to another python script, what would be the best way of doing that?

I cannot simply import script A into script B as it will create a new instance of script A, rather than accessing any variables in the already running script A.

The only way I can think of doing it is by having script A write to a file, and then script B get the data from the file. This is less than ideal however as something bad might happen if script B tries to read a file that script A is already writing in. Also I am looking for a much faster speed to communication between the two programs.

EDIT: Here are the examples as requested. I am aware why this doesn't work, but it is the basic premise of what needs to be achieved. My source code is very long and unfortunately confidential, so it is not going to help here. In summary, script A is running Tkinter and gathering data, while script B is views.py as a part of Django, but I'm hoping this can be achieved as a part of Python.

Script A

import time  i = 0  def return_data():     return i  if __name__ == "__main__":     while True:         i = i + 1         print i         time.sleep(.01) 

Script B

import time from scriptA import return_data  if __name__ == '__main__':     while True:         print return_data()  # from script A         time.sleep(1) 

Answer 1

you can use multiprocessing module to implement a Pipe between the two modules. Then you can start one of the modules as a Process and use the Pipe to communicate with it. The best part about using pipes is you can also pass python objects like dict,list through it.

Ex: mp2.py:

from multiprocessing import Process,Queue,Pipe from mp1 import f  if __name__ == '__main__':     parent_conn,child_conn = Pipe()     p = Process(target=f, args=(child_conn,))     p.start()     print(parent_conn.recv())   # prints "Hello" 

mp1.py:

from multiprocessing import Process,Pipe  def f(child_conn):     msg = "Hello"     child_conn.send(msg)     child_conn.close()