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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

Summary

This chapter showed us how to write doctests, make use of the shortcuts provided by py.test, and use the logging module. With testing, there is never a one-size-fits-all solution. While the doctest system is very useful in many cases for providing both documentation and tests at the same time, in many functions there are edge cases that simply don’t matter for documentation but still need to be tested. This is where regular unit tests come in and where py.test helps a lot.

We have also seen how we can use tox to run tests in multiple sandboxed environments. If you ever have a project that also has to run on different computers or even on different Python versions, I would highly encourage you to use it.

The logging module is extremely useful when configured correctly and if your project becomes somewhat larger, it quickly becomes useful to do so. The usage of the logging system should be clear enough for most of the common use cases now, and as long as you...

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