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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

Using documentation as tests with doctest

The doctest module is one of the most useful modules within Python. It allows you to combine documenting your code with tests to make sure that it keeps working as it is supposed to.

By now the format should be very familiar to you; most of the code samples in this book use the doctest format, which offers the advantage that both the input and the output are shown intertwined. Especially in demonstrations, this is much more convenient than having a block of code followed by the output.

A simple doctest example

Let’s start with a quick example: a function that squares the input. The following example is a fully functional command-line application, containing not only code but also functioning tests. The first few tests cover how the function is supposed to behave when executing normally, followed by a few tests to demonstrate the expected errors:

def square(n: int) -> int:
    '''
    Returns the input...
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