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Learning Python Networking

You're reading from   Learning Python Networking Utilize Python 3 to get network applications up and running quickly and easily

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784396008
Length 320 pages
Edition 1st Edition
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Toc

Table of Contents (12) Chapters Close

Preface 1. Network Programming and Python 2. HTTP and Working with the Web FREE CHAPTER 3. APIs in Action 4. Engaging with E-mails 5. Interacting with Remote Systems 6. IP and DNS 7. Programming with Sockets 8. Client and Server Applications 9. Applications for the Web A. Working with Wireshark Index

Event-driven servers


For many purposes threads are great, especially because we can still program in the familiar procedural, blocking-IO style. But they suffer from the drawback that they struggle when managing large numbers of connections simultaneously, because they are required to maintain a thread for each connection. Each thread consumes memory, and switching between threads incurs a type of CPU overhead called context switching. Although these aren't a problem for small numbers of threads, they can impact performance when there are many threads to manage. Multiprocessing suffers from similar problems.

An alternative to threading and multiprocessing is using the event-driven model. In this model, instead of having the OS automatically switch between active threads or processes for us, we use a single thread which registers blocking objects, such as sockets, with the OS. When these objects become ready to leave the blocking state, for example a socket receives some data, the OS notifies...

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