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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Toc

Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do 2. Part I: Getting to Know Python FREE CHAPTER
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

10.1 Testing your code

The code you write must work in all possible situations for all possible inputs. Therefore, you must devise a test system that assures you that every possibility is covered and the results are correct.

That’s a powerful statement, and you might relax the rules if you are coding something “quick and dirty” to do once or for your own purposes. If you are sharing your code or it will be part of a production environment, testing is essential.

10.1.1 __debug__

By default, the system variable __debug__ is True. This setting allows you to write code like

from src.code.unipoly import UniPoly

x = UniPoly(1, "x", 1)

def square_poly(p):
    if __debug__:
        print(f"Argument {p = }\n")
    return p*p

square_poly(x**2 - 3*x + 7)
Argument p = x**2 - 3*x + 7

x**4 - 6*x**3 + 23*x**2 - 42*x + 49

Note that I imported UniPoly from the specific folder...

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