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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

Testing

In Chapter 10, Testing and Logging – Preparing for Bugs, we saw a few of the many testing systems for Python. As you might suspect, at least some of these have setup.py integration. It should be noted that setuptools even has a dedicated test command (at the time of writing), but this command has been deprecated and the setuptools documentation now recommends using tox. While I am a huge fan of tox, for immediate local development it often incurs quite a bit of overhead. I find that executing py.test directly is faster, because you can really quickly test only the bits of the code that you changed.

unittest

Before we start, we should create a test script for our package. For actual tests please look at Chapter 10; in this case, we will just use a no-op test, test.py:

import unittest

class Test(unittest.TestCase):
    def test(self):
        pass

The standard python setup.py test command has been deprecated, so we will run unittest directly:

$ python3...
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