Python Threads - MultiThreading in Python and Python GIL - Python MultiProcessing

Welcome to the video series multithreading and multiprocessing in python programming language and in this video we'll also talk about the famous or rather infamous python Global Interpreter Lock or Python GIL.

This video starts with clarifying that fact that python threads are indeed real threads and there is one kernel level thread is created for every python thread we create from python programming language.

After understanding the same, we'll learn in detail about the python GIL or Python Global Interpreter Lock and we'll also see how it works by creating multiple threads and understand how python GIL impacts the execution of multiple threads. I've also created a comparison between C++ threads and Python threads so that we understand the same in the easiest possible way.

I'll create multiple threads by creating CPU intensive jobs so that we can understand how it impacts the multithreading in python. I've also touched upon the multiprocessing in python and explain the scenarios on which you need to use python multiprocessing and not the multithreading.

At the end of this video, I've explained the Object Oriented way of creating the python threads and then how we can create a class by deriving the same from python Thread. In general, the OOP way is more acceptable way to create the thread.

Hope this video will help you in expediting your learning journey. Here are the contents of this video

Timecodes :

0:00 - Multithreading in Python
0:40 - CodeSports.ai intro
0:58 - Multithreading topics of this video
1:47 - Python Thread class and threading
2:12 - Creating Python threads using builtin python Thread class
2:50 - Python Threads are Real Threads
4:21 - Creating the Threads in Python
4:48 - Python threads needs to be started explicitly
5:10 - Seeing Python Threads in the system using linux top command
6:03 - Python Thread join - wait for the thread to complete
6:41 - Python GIL - Python Global Interpreter Lock
8:58 - Creating Multiple Threads in Python
9:35 - How Python GIL impacts the execution of Threads
10:40 - Comparing python threads with C++ threads
13:48 - MultiProcessing in Python for CPU intensive Jobs
15:33 - Python Threads creating in Object Oriented Way

#python #multithreading #multiprocessing #cpu #cores #memory #software #softwaredevelopment #programming #pythonprogramming

About Me i.e. An Insightful Techie

Greetings and Thanks a lot for checking out my YouTube Channel. I’m Deepak K Gupta (Daksh). This channel is a medium for me to share my learnings and journey as a Techie so that you not only learn from my experience but also from my mistakes

As a techie I am closely associated with software development, so most of my content will revolve around Programming Languages, AI, Machine learning and Databases. I share things which will help you learn, remember and use these things in an effective and efficient way.

As a Techie, I also know that there is a life beyond software development and it has a profound impact on our career as well as on our well being. I also share those learnings which I feel are worth sharing with the intention that it MAY help you in taking better decisions in your life.

Last but not the least, I'm a traveler and explorer by nature. I would like to take you with me on some of the interesting journeys around the world. Believe me there is more to learn outdoors than indoors

Hope you’ll like my contents and will be part of my journey 🙏

SUBSCRIBE - https://www.youtube.com/AnInsightfulT...
INSTAGRAM - https://www.intagram.com/AnInsightful...
Twitter -   / awisetechie  
Facebook -   / aninsightfultechie