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Learn Python Programming, 3rd edition

You're reading from   Learn Python Programming, 3rd edition An in-depth introduction to the fundamentals of Python

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Length 554 pages
Edition 3rd Edition
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
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Fabrizio Romano
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Table of Contents (18) Chapters Close

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types FREE CHAPTER 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 16. Other Books You May Enjoy
17. Index

Documenting your code

We are big fans of code that doesn't need documentation. When we program correctly, choose the right names, and take care of the details, the code should come out as self-explanatory, with documentation being almost unnecessary. Sometimes a comment is very useful though, and so is some documentation. You can find the guidelines for documenting Python in PEP 257 -- Docstring conventions:

https://www.python.org/dev/peps/pep-0257/, but we'll show you the basics here.

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