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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer FREE CHAPTER 2. Setting Up 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

Using the concurrent.futures package

In this section, we're focusing on concurrent.futures, the more abstract and easier to use of the two packages mentioned earlier. Our focus will be on the four main operations in concurrent.futures. We will then move on to the usage of future objects and end with the implications of the mechanism of data transfer between processes.

Some programs are what we call CPU-bound, which means that the primary factor which determines how long the program takes to complete its tasks is how fast the computer can run through its instructions. Interestingly, most programs that we use on a daily basis are not CPU-bound. However, for those that are, we can often speed them up by breaking them into separate processes.

This difference can be illustrated as follows:

In the preceding figure, on the left-hand side, we have a CPU-bound program. It has many...

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