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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

Overview of three performance chapters


Before we dive into the main discussion, let's first understand how the chapters on performance improvement are organized. As mentioned earlier, this discussion is split into a series of three interlinked chapters.

More focus on the runtime performance

The term performance improvement can mean several things. One can be talking about improving the runtime (CPU usage), making the application memory efficient, reducing the network consumption, or a combination of these. In this book, we will primarily focus on the runtime performance improvement. We will also discuss the memory consumption aspect, but the discussion will be limited to the memory profiling technique and the use of generator expressions.

The first performance chapter

You are reading the first chapter in this series. It does some preparatory work to improve the application performance. This preparation involves measuring the runtime, identifying pieces of the code that cause the performance...

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