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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

Interactive debugging

Now that we have discussed basic debugging methods that will always work, we will look at interactive debugging for some more advanced debugging techniques. The previous debugging methods made variables and stacks visible through modifying the code and/or foresight. This time around, we will look at a slightly smarter method, which constitutes doing the same thing interactively, but once the need arises.

Console on demand

When testing some Python code, you may have used the interactive console a couple of times, since it’s a simple yet effective tool for testing your Python code. What you might not have known is that it is actually simple to start your own shell from within your code. So, whenever you want to drop into a regular shell from a specific point in your code, that’s easily possible:

import code

def start_console():
    some_variable = 123
    print(f'Launching console, some_variable: {some_variable}')
    code.interact...
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