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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

Debugging – Solving the Bugs

The previous chapter showed you how to add logging and tests to your code, but no matter how many tests you have, you will always have bugs. The biggest problem will always be external variables such as user input and different environments. At some point sooner or later, we will need to debug issues with our code, or worse, the code that was written by someone else.

There are many debugging techniques and, most certainly, you have already used a few of them. Within this chapter, we are going to focus on print/trace debugging and interactive debugging.

Debugging using print statements, stack traces, and logging is one of the most versatile methods to work with, and it is most likely the first type of debugging you ever used. Even a print('Hello world') can be considered this type, as the output will show you that your code is being executed correctly. There is obviously no point in explaining how and where to place print statements...

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