Tutorial by Examples

from __future__ import print_function import threading def counter(count): while count > 0: print("Count value", count) count -= 1 return t1 = threading.Thread(target=countdown,args=(10,)) t1.start() t2 = threading.Thread(target=countdown,args=(20,)) ...

from __future__ import print_function import multiprocessing def countdown(count): while count > 0: print("Count value", count) count -= 1 return if __name__ == "__main__": p1 = multiprocessing.Process(target=countdown, args=(10,)) ...

Because data is sensitive when dealt with between two threads (think concurrent read and concurrent write can conflict with one another, causing race conditions), a set of unique objects were made in order to facilitate the passing of data back and forth between threads. Any truly atomic operation c...