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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

Summary


This chapter explained in detail how to:

  • Use a few rules for efficient writing

  • Use reStructuredText, the Pythonista's LaTeX

  • Build a document portfolio and landscape

  • Use Sphinx to generate useful web documentations

The hardest thing to do when documenting a project is to keep it accurate and up to date. Making the documentation part of the code repository makes it a lot easier. From there, every time a developer changes a module, he or she should change the corresponding documentation as well.

This can be quite difficult in big projects, and adding a list of related documents in the header of the modules can help in that case.

A complementary approach to make sure the documentation is always accurate is to combine the documentation with tests through doctests. This is covered in the next chapter, which presents test-driven development principles and then document-driven development.

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