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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

Non-interactive debugging

The most basic form of debugging is adding a simple print statement into your code to see what is still working and what isn’t. This is useful in a variety of cases and likely to help solve most of your issues.

Later in this chapter, we will show some interactive debugging methods, but those are not always suitable. Interactive debugging tends to become difficult or even impossible in cases such as:

  • Multithreaded environments
  • Multiple servers
  • Bugs that are hard (or take a long time) to reproduce
  • Closed-off remote servers such as Google App Engine or Heroku

Both interactive and non-interactive debugging methods have their merits, but I personally opt for non-interactive debugging 90% of the time, since a simple print/log statement is usually enough to analyze the cause of a problem. I find interactive debugging to be mostly helpful when writing code which uses large and complicated external libraries, where...

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