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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

Is your code covered?


Is there a way to check how well you are doing as far as testing is concerned? How much code is covered by the unit tests? For this, you need a Python package called coverage. It can be installed using pip as follows:

$ pip install coverage

The preceding command creates an executable called coverage at the same location as your Python installation. In Linux, if Python 3 is installed in /usr/bin/, coverage will be available at the same location as /use/bin/coverage. In Windows OS, it will be available in the Scripts directory, at the same location as pip.exe. Run the coverage command as follows:

$ cd wargame
$ coverage run -m test.test_wargame && coverage report

This command is a combination of two commands separated by && and executed one after the other. The first command runs the tests: coverage run -m test.test_wargame. This is similar to how we run the unit tests. The run option runs a Python program, and measures the code execution. As noted before...

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