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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

Chapter 8. Improving Performance – Part One

Let's recap what you learned in the previous chapter. We started with a program that appeared harmless until some parameters were tweaked. This change revealed performance issues. Hence, we performed a search operation (profiling) to catch the culprits (the bottlenecks). Now, let's see what we can do to speed up the application code. To be specific, we will cover the following topics:

  • Cutting down the runtime of the Gold Hunt application
  • Learning to improve the application performance using the following ways:
    • Making changes to the algorithm
    • Avoiding the function re-evaluation
    • Using the list and dictionary comprehensions
    • Using generator expressions
    • Using tricks to improve the performance of code involving loops
    • Choosing the right data structures
    • Discussing the collections and itertools modules briefly

In summary, this chapter will cover several (but not all) techniques to speed up the application. Some of these can be directly...

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