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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

Building the documentation


An easier way to guide your readers and your writers is to provide each one of them with helpers and guidelines, as we have learned in the previous section of this chapter.

From a writer's point of view, this is done by having a set of reusable templates together with a guide that describes how and when to use them in a project. It is called a documentation portfolio.

From a reader's point of view, it is important to be able to browse the documentation with no pain, and getting used to finding the information efficiently. It is done by building a document landscape.

Building the portfolio

There are many kinds of documents a software project can have, from low-level documents that refer directly to the code, to design papers that provide a high-level overview of the application.

For instance, Scott Ambler defines an extensive list of document types in his book, Agile Modeling: Effective Practices for eXtreme Programming and the Unified Process, John Wiley & Sons...

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