Multithreading in Python

 

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In computer architecture, multithreading is the ability of a central processing unit to provide multiple threads of execution concurrently, supported by the operating system. This approach differs from multiprocessing.

Multitasking is of two types: Processor-based and thread-based. Processor-based multitasking is totally managed by the OS, however multitasking through multithreading can be controlled by the programmer to some extent.

The concept of multi-threading needs a proper understanding of these two terms – a process and a thread. A process is a program being executed. A process can be further divided into independent units known as threads.

A thread is like a small light-weight process within a process. Or we can say a collection of threads is what is known as a process.

import logging

import threading

import time

def thread_function1(name):

    print("Thread {}: starting \n".format(name))

    time.sleep(5)

    print("Thread {}: finishing \n".format(name))

def thread_function2(name):

    print("Thread {}: starting \n".format(name))

    time.sleep(3)

    print("Thread {}: finishing \n".format(name))

if __name__ == "__main__":

    print("Main    : before creating thread \n")

    x = threading.Thread(target=thread_function1, args=(1,))

    y = threading.Thread(target=thread_function2, args=(2,))

    print("Main    : before running thread \n")

    x.start()

    y.start()

    print("Main    : wait for the thread to finish \n")

    x.join()

    print("Main    : all done \n")

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