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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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Toc

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

Namespace packages

The Zen of Python, which you can read by writing import this in the interpreter session, says the following about namespaces:

Namespaces are one honking great idea—let's do more of those!

And this can be understood in at least two ways. The first is a namespace in the context of the language. We all use namespaces without even knowing:

  • The global namespace of a module
  • The local namespace of the function or method invocation
  • The built-in name's namespace

The other kind of namespaces can be provided at packaging levels. These are namespaced packages. This is often an overlooked feature that can be very useful in structuring the package ecosystem in your organization or in a very large project.

Why is it useful?

Namespace packages can be understood as a way of grouping related packages or modules higher than a meta-package level, where each of these packages can be installed independently.

Namespace packages are especially useful if you have your application components...

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