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Distributed Computing with Python

You're reading from   Distributed Computing with Python Harness the power of multiple computers using Python through this fast-paced informative guide

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781785889691
Length 170 pages
Edition 1st Edition
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Author (1):
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Rasheedh B Rasheedh B
Author Profile Icon Rasheedh B
Rasheedh B
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Table of Contents (10) Chapters Close

Preface 1. An Introduction to Parallel and Distributed Computing 2. Asynchronous Programming FREE CHAPTER 3. Parallelism in Python 4. Distributed Applications – with Celery 5. Python in the Cloud 6. Python on an HPC Cluster 7. Testing and Debugging Distributed Applications 8. The Road Ahead Index

An asynchronous example

To keep things simple but still interesting, let's write a tool that, given a text file, will count the occurrences of a given word. This example builds on the silly coroutine that we implemented in the previous section, adding some useful behavior to it.

It should be noted that, at least on a Linux or Mac OS X machine, one can achieve the same result very simply using the grep command, as we will see. Let's start by downloading a significantly large text that we will use as input data for our experiments. Let's just choose a public domain book from Project Gutenberg: War and Peace by Leo Tolstoy, which is freely available at http://www.gutenberg.org/cache/epub/2600/pg2600.txt.

The following snippet shows how we can download this text very easily:

$ curl -sO http://www.gutenberg.org/cache/epub/2600/pg2600.txt
$ wc pg2600.txt
   65007  566320 3291648 pg2600.txt

Next, we will start by counting the number of occurrences of the word love, regardless of case...

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Distributed Computing with Python
Published in: Apr 2016
Publisher:
ISBN-13: 9781785889691
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