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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (21) Chapters Close

Expert Python Programming Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Reducing the complexity


Before we dig further into optimization techniques, let's define exactly what we are going to deal with. From the chapter's introduction, we know that focusing on improving application bottlenecks is critical for successful optimization. A bottleneck is a single component that severely limits the capacity of a program or computer system. An important characteristic of every piece of code with performance issues is that it usually has only a single bottleneck. We discussed some profiling techniques in the previous chapter, so you should already be familiar with the tools required to locate and isolate such places. If your profiling results show that there are few places that need immediate improvement, then you should at first try to treat each as a separate component and optimize independently.

Of course, if there is no explicit bottleneck but your application still performs under your expectations, then you are really in a bad position. The gains of the optimization...

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