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Learning Python Application Development

You're reading from   Learning Python Application Development Take Python beyond scripting to build robust, reusable, and efficient applications

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785889196
Length 454 pages
Edition 1st Edition
Languages
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Author (1):
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Ninad Sathaye Ninad Sathaye
Author Profile Icon Ninad Sathaye
Ninad Sathaye
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Table of Contents (12) Chapters Close

Preface 1. Developing Simple Applications FREE CHAPTER 2. Dealing with Exceptions 3. Modularize, Package, Deploy! 4. Documentation and Best Practices 5. Unit Testing and Refactoring 6. Design Patterns 7. Performance – Identifying Bottlenecks 8. Improving Performance – Part One 9. Improving Performance – Part Two, NumPy and Parallelization 10. Simple GUI Applications Index

Other unit testing tools


In this chapter, we have exclusively used the built-in unittest framework for writing the tests. There are several other tools available for unit testing that were not discussed. The purpose of this section is only to introduce you to the other unit testing tools available out there besides the built-in unittest module. For instance, there are tools such as nose or pytest that make it easier to write the unit tests to a large extent. Let's briefly review some of these unit testing tools.

Doctest

This is a built-in module, which looks for text that resembles Python code written in an interpreter. Here is a trivial example that shows a docstring with an example usage of the function:

def add_nums(a, b): 
    """Return sum of two numbers 

    Example usage: 
    .. doctest:: 

    >>> add_nums(10, 20) 
    30 
    """ 
    return (a + b)

Doctest identifies such code, and runs it to check if it really does what it says. This is quite an effective way to verify...

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