Advanced Python: Python Programming guidelines For Multiprocessing
Guidelines & Idioms When Using Multiple Processes In Python
One of the quickest and safest techniques to scale up the application is to launch multiple Python processes in an application. This also helps us by-pass the famous GIL issue.
The challenge of launching multiple processes is that it can cause unintended problems if the application is not designed appropriately.
I have written 12 top guidelines that I recommend everyone to follow. This article aims to outline the programming guidelines for multiple processing programming.
I recommend this article to everyone who is/or intends in using the Python programming language.
If you want to understand the Python programming language from the beginner to an advanced level then I highly recommend the article below:
Guideline 1
Regardless of the platform, whether you are using Windows or Linux, try to avoid sharing data…
