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Python: Journey from Novice to Expert

You're reading from   Python: Journey from Novice to Expert Journey from Novice to Expert

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Product type Course
Published in Aug 2016
Publisher Packt
ISBN-13 9781787120761
Length 1311 pages
Edition 1st Edition
Languages
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Authors (3):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Toc

Table of Contents (6) Chapters Close

Preface 1. Module 1 FREE CHAPTER 2. Module 2 3. Module 3 A. Bibliography
Index

Chapter 13. Multiprocessing – When a Single CPU Core Is Not Enough

In the previous chapter, we discussed factors that influence performance and some methods to increase performance. This chapter can actually be seen as an extension to the list of performance tips. In this chapter, we will discuss the multiprocessing module, a module that makes it very easy to make your code run on multiple CPU cores and even on multiple machines. This is an easy way to work around the Global Interpreter Lock (GIL) that was discussed in the previous chapter.

To summarize, this chapter will cover:

  • Local multiprocessing
  • Remote multiprocessing
  • Data sharing and synchronization between processes

Multithreading versus multiprocessing

Within this book we haven't really covered multithreading yet, but you have probably seen multithreaded code in the past. The big difference between multithreading and multiprocessing is that with multithreading everything is still executed within a single process...

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