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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
Languages
Concepts
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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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Toc

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

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "We can include other contexts through the use of the include directive."

A block of code is set as follows:

import urllib.request
import time
t0 = time.time()
req = urllib.request.urlopen('http://www.example.com')
pageHtml = req.read()
t1 = time.time()
print("Total Time To Fetch Page: {} Seconds".format(t1-t0))

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

import urllib.request
import time
t0 = time.time()
req = urllib.request.urlopen('http://www.example.com')
pageHtml = req.read()
t1 = time.time()
print("Total Time To Fetch Page: {} Seconds".format(t1-t0))

Any command-line input or output is written as follows:

pip install rx

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text.

Warnings or important notes appear like this.
Tips and tricks appear like this.
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