Post #85

http://www.tutorialspoint.com/python/python_multithreading.htm Running several threads is similar to running several different programs concurrently, but with the following benefits − Multiple threads within a process share the same data space with the main thread and can therefore share information or communicate with each other more easily than if they were separate processes. #Threads sometimes called light-weight processes and they do not require much memory overhead; they care cheaper than processes. A thread has a beginning, an execution sequence, and a #conclusion. It has an instruction pointer that keeps track of where within its context it is currently running. It can be pre-empted (interrupted) It can temporarily be put on hold (also known as sleeping) while other threads are running - this is called yielding.