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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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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
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Documenting your code

We are big fans of code that does not need documentation. When we write elegant code, following established principles, the code should come out as self-explanatory, with documentation being almost unnecessary. Nevertheless, adding a docstring to a function, or a comment with important information, can be very useful.

You can find the guidelines for documenting Python in PEP 257 – Docstring conventions at https://peps.python.org/pep-0257/, but we will 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...
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