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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 7. Performance – Identifying Bottlenecks

So far, you have learned various ways to make the application robust and accommodating for new features. Now, let's discuss techniques to improve the application performance. This broad topic is split into a series of three chapters—this is the first one in this series. It will cover the following topics:

  • Basic ways to clock the application runtime
  • How to identify the runtime performance bottlenecks by profiling the code
  • Basic memory profiling with the memory_profiler package
  • Big O notation for the computational complexity

To understand these concepts better, we will develop an interesting game scenario called Gold Hunt. You will soon realize that the application runs very slow when you increase the input data size. This chapter will elaborate on techniques to pinpoint such problems.

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