Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python 3 Object Oriented Programming

You're reading from   Python 3 Object Oriented Programming If you feel it‚Äôs time you learned object-oriented programming techniques, this is the perfect book for you. Clearly written with practical exercises, it‚Äôs the painless way to learn how to harness the power of OOP in Python.

Arrow left icon
Product type Paperback
Published in Jul 2010
Publisher Packt
ISBN-13 9781849511261
Length 404 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Python 3 Object Oriented Programming
Credits
About the Author
About the Reviewers
Preface
1. Object-oriented Design FREE CHAPTER 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. Python Design Patterns I 9. Python Design Patterns II 10. Files and Strings 11. Testing Object-oriented Programs 12. Common Python 3 Libraries Index

How much testing is enough?


We've already established that untested code is broken code. But how can we tell how well our code is tested? How do we know how much of our code is actually being tested? The first question is the more important one, but it's hard to answer. Even if we know we have tested every line of code in our application, we do not know that we have tested it properly. For example, if we write a stats test that only checks what happens when we provide a list of integers, it may still fail spectacularly if used on a list of floats or strings or self-made objects. The onus of designing complete test suites still lies with the programmer.

The second question, how much of our code is actually being tested, is actually easy to verify. Code coverage is essentially an estimate of the number of lines of code that are executed by a program. If we know that number and the number of lines that are in the program, we can get an estimate of what percentage of the code was really tested...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime