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Python 3 Object-Oriented Programming - Second Edition

You're reading from  Python 3 Object-Oriented Programming - Second Edition

Product type Book
Published in Aug 2015
Publisher Packt
ISBN-13 9781784398781
Pages 460 pages
Edition 1st Edition
Languages
Author (1):
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips

Table of Contents (21) Chapters

Python 3 Object-oriented Programming Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Introduction to the second edition
Preface
1. Object-oriented Design 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-oriented Programming 6. Python Data Structures 7. Python Object-oriented Shortcuts 8. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-oriented Programs 13. Concurrency Index

Raising exceptions


In principle, an exception is just an object. There are many different exception classes available, and we can easily define more of our own. The one thing they all have in common is that they inherit from a built-in class called BaseException. These exception objects become special when they are handled inside the program's flow of control. When an exception occurs, everything that was supposed to happen doesn't happen, unless it was supposed to happen when an exception occurred. Make sense? Don't worry, it will!

The easiest way to cause an exception to occur is to do something silly! Chances are you've done this already and seen the exception output. For example, any time Python encounters a line in your program that it can't understand, it bails with SyntaxError, which is a type of exception. Here's a common one:

>>> print "hello world"
  File "<stdin>", line 1
    print "hello world"
                      ^
SyntaxError: invalid syntax

This print statement...

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