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Mastering Python 2E

You're reading from   Mastering Python 2E Write powerful and efficient code using the full range of Python's capabilities

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Product type Paperback
Published in May 2022
Last Updated in May 2022
Publisher Packt
ISBN-13 9781800207721
Length 710 pages
Edition 2nd Edition
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (21) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Interactive Python Interpreters 3. Pythonic Syntax and Common Pitfalls 4. Pythonic Design Patterns 5. Functional Programming – Readability Versus Brevity 6. Decorators – Enabling Code Reuse by Decorating 7. Generators and Coroutines – Infinity, One Step at a Time 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. asyncio – Multithreading without Threads 14. Multiprocessing – When a Single CPU Core Is Not Enough 15. Scientific Python and Plotting 16. Artificial Intelligence 17. Extensions in C/C++, System Calls, and C/C++ Libraries 18. Packaging – Creating Your Own Libraries or Applications 19. Other Books You May Enjoy
20. Index

Documenting code

There are currently three different documentation styles supported by Sphinx: the original Sphinx style and the more recent NumPy and Google styles. The differences between them are mainly in style, but it’s actually slightly more than that.

The Sphinx style was developed using a bunch of reStructuredText roles, a very effective method, but it can be detrimental for readability when used a lot. You can probably tell what the following does, but it’s not the nicest syntax:

:param number: The number of eggs to return
:type number: int

The Google style was (as the name suggests) developed by Google. The goal was to have a simple/readable format that works both as in-code documentation and is parseable for Sphinx. In my opinion, it comes closer to the original idea of reStructuredText, a format that’s very close to how you would document instinctively. This example has the same meaning as the Sphinx style example shown earlier...

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