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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Issuing warnings instead of exceptions


The Python warnings module handles a special subclass of exceptions. We can use the warnings module to identify potential problems in our application. The warnings module is used internally to track a number of internal considerations.

The warning concept fits into the middle ground between perfectly normal operations and erroneous conditions. Our program may not be performing optimally, but it's not completely broken, either.

There are three notable warning classes that we might encounter when running unit tests. Since the unit test framework displays all warnings, we may see some warnings in a test context that we don't see in the normal operational use of our software.

  • DeprecationWarning: This warning is raised by modules, functions, or classes that have been deprecated. It's a reminder that we need to fix our code to stop using this feature.

  • PendingDeprecationWarning: A function, module or class for which deprecation has been announced may raise this...

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