MultiProcessing in Python | Creating Multiple Processes in Python | Python MultiThreading
In todays world with the availability of multiple cores, it's highly likely that we end up creating multithreaded applications more often than not for our day to day programming tasks. Almost all programming languages support creating and multithread applications and more often than not we end up creating more kernel level threads than user level threads.
Welcome to this video series on multithreading in python programming and in this video we're talking about Multi Processing in python programming languages. You might be wondering why I am talking about multiprocessing in the video series of python multithreading. Well, its because of the presence of Python GIL - The Global Interpreter Lock.
The Python GIL prevents multiple python threads to execute at a single point of time and this creates as serious problem for CPU Intensive jobs. If you have multiple CPU Intensive jobs which can run in parelle then you can use python multiprocessing to use multiple cores of the machine
Before going ahead with python multiprocessing, please remember that creating multiple threads are heavy as compared to creating multiple threads and you must do it only for CPU intensive jobs.
In this video, I've explained how to create multiple processes in python using python multiprocessing and how we can use the same. However, as far as the syntax is concerned, its very similar to creating threads in python
I hope and believe that this video will help you in expediting your learning journey. Here are the contents of this video
Timecodes
0:00 : Python Multiprocessing
0:42 : Python Multiprocessing for CPU Intensive Jobs
1:42 : Recap Python MultiThreading
2:12 : Entry Point Function for Python Threads
3:22 : Multiprocessing in Python for CPU intensive Jobs
3:48 : python multiprocessing module
4:07 : Python Multiprocessing - Entry Point Function
5:14 : Creating and calling python process in python multiprocessing
5:30 : Python Multiprocessing in action
5:45 : Python Multiprocessing changing the process name
#python #multithreading #multiprocessing #multicore #cpu #pythonprogramming #threads #pythonmultiprocessing
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