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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Defining your own thread-safe communication structures


Sometimes, standard communication primitives don't quite cut it, and we have to implement our own composite objects in order to communicate between threads.

A web Crawler example

Now that we've got a good handle of both our communication primitives as well as the synchronization primitives that we dealt with in the previous chapter, it's time to start putting these to good use.

What better way to put into practice our newfound knowledge than to build something interesting with it?

In this section of the chapter, we are going to build a very simple multithreaded web Crawler.

Requirements

Just like any real project, we first need to define a set of requirements. In other words, we need to know the general direction that we'll be working towards. For this project, we have the following requirements:

  • The web Crawler needs to utilize multiple threads
  • It should be able to crawl all the particular web pages of a website
  • It should be able to report back...
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