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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Documenting your code


I'm a big fan of code that doesn't need documentation. When you program correctly, choose the right names and take care of the details, your code should come out as self-explanatory and documentation should not be needed. Sometimes a comment is very useful though, and so is some documentation. You can find the guidelines for documenting Python in PEP257 – Docstring conventions, but I'll show you the basics here.

Python is documented with strings, which are aptly called docstrings. Any object can be documented, and you can use either one-line or multi-line docstrings. One-liners are very simple. They should not provide another signature for the function, but clearly state its purpose.

docstrings.py

def square(n):
    """Return the square of a number n. """
    return n ** 2

def get_username(userid):
    """Return the username of a user given their id. """
    return db.get(user_id=userid).username

Using triple double-quoted strings allows you to expand easily later on...

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