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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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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Table of Contents (16) Chapters Close

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

The three rules of optimization

Optimization has a price, no matter what the results are. When a piece of code works, it might be better (sometimes) to leave it alone than to try making it faster at all costs. There are a few rules to keep in mind when doing any kind of optimization:

  • Make it work first
  • Work from the user's point of view
  • Keep the code readable

Make it work first

A very common mistake is to try to optimize the code while you are writing it. This is mostly pointless because the real bottlenecks are often located where you would have never thought they would be.

An application is usually composed of very complex interactions, and it is impossible to get a full picture of what is going on before it is really used.

Of course, this is not a reason to write a function or a method without trying to make it as fast as possible. You should be careful to lower its complexity as much as possible and avoid useless repetition. But the first goal is to make it work. This goal should not...

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