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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Summary

In this chapter, we've looked at two common metaprogramming techniques. The first is writing decorator functions—these can be used to transform an original function to add new features. The second is using a metaclass to extend the default behavior of class definitions.

We can use these techniques to develop application features that cut across many functions and classes. Writing a feature once and applying it to a number of classes assures us of consistency and can help during debugging, as well as upgrades or refactoring.

In Chapter 14, Fit and Finish – Unit Testing, Packaging, and Documentation, we'll look at a number of features that characterize a complete Python project. Rather than address technical language features, we'll look at ways we can use Python features to create polished, complete solutions.

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