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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
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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 and Logging – Preparing for Bugs

When programming, most developers plan a bit and immediately start writing code. After all, we all expect to write bug-free code! Unfortunately, we don’t. At some point, an incorrect assumption, a misinterpretation, or just a silly mistake is bound to happen. Debugging (covered in Chapter 11, Debugging – Solving the Bugs) will always be required at some point, but there are several methods that you can use to prevent bugs or, at the very least, make it much easier to solve them when they do occur.

To prevent bugs from occurring in the first place, test-driven development or, at the very least, functional/regression/unit tests, are very useful. The standard Python installation alone offers several options such as the doctest, unittest, and test modules. The doctest module allows you to combine tests with example documentation. The unittest module allows you to easily write regression tests. The test module is meant for...

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