multiprocessing from multiprocessing import process from time import sleep def worker(msg)for in range( )print(msgend=''flush=truesleep( print('starting' process(target=workerargs=' ' process(target=workerargs=' ' process(target=workerargs=' ' start( start( start(print('done'it is essentially the same as the equivalent program for threads but with the process class being used instead of the thread class the output from this application is given belowstarting done abcabcabcabcabcabcabcacbacbacb the main difference between the thread and process versions is that the process version runs the worker function in separate processes whereas in the thread version all the threads share the same process alternative ways to start process when the start(method is called on processthree different approaches to starting the underlying process are available these approaches can be set using the multiprocessing set_start_method(which takes string indicating the approach to use the actual process initiation mechanisms available depend on the underlying operating system'spawnthe parent process starts fresh python interpreter process the child process will only inherit those resources necessary to run the process objects run(method in particularunnecessary file descriptors and handles from the