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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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Author (1):
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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 2. Setting Up FREE CHAPTER 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

Coroutines and Asynchronous I/O

In the previous chapter, we looked at how to use multiple processes to increase the rate of data processing in our programs. This is great for CPU-bound programs because it allows them to use more than one CPU.

In this chapter, we'll look at the inverse of this case; we'll use a single CPU to handle multiple data processing tasks at once within a single process, which is great for I/O-bound programs. We'll see some of the nuts and bolts of working with asyncio. We'll also discuss asyncio's future class and how it's used. Then we'll move on to synchronization and communication between asynchronous coroutine tasks. Lastly, we'll see how to use asyncio and coroutines to write a client-server program to communicate over a network.

We will cover the following topics:

  • The difference between asynchronous processing...
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