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Learning Python Application Development

You're reading from   Learning Python Application Development Take Python beyond scripting to build robust, reusable, and efficient applications

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785889196
Length 454 pages
Edition 1st Edition
Languages
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Author (1):
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Ninad Sathaye Ninad Sathaye
Author Profile Icon Ninad Sathaye
Ninad Sathaye
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Table of Contents (12) Chapters Close

Preface 1. Developing Simple Applications FREE CHAPTER 2. Dealing with Exceptions 3. Modularize, Package, Deploy! 4. Documentation and Best Practices 5. Unit Testing and Refactoring 6. Design Patterns 7. Performance – Identifying Bottlenecks 8. Improving Performance – Part One 9. Improving Performance – Part Two, NumPy and Parallelization 10. Simple GUI Applications Index

Parallelizing the Gold Hunt program


Looking at the previous profiler output, the find_coins function is still the main bottleneck with ~19.5 seconds of cumulative time. Let's see how parallelization can help speed it up further.

Revisiting the gold field

Here is the gold field image from Chapter 7, Performance – Identifying Bottlenecks:

Let's quickly summarize what we already saw in Chapter 7, Performance – Identifying Bottlenecks:

  • The find_coins method is called for each of the small search circles shown in the figure. So, if there are 10 search circles, find_coins will be called 10 times, one after the other.

  • The find_coins method returns the coordinates of the gold coins lying inside the given search circle.

  • The information about all such collected coins is maintained in a list object.

There is one important thing to note here. It is a serial execution. You start with the first circle, collect the coins and move on to the next one, and repeat the procedure until you hit the other end of the...

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