Book Image

Mastering Object-Oriented Python - Second Edition

By : Steven F. Lott
Book Image

Mastering Object-Oriented Python - Second Edition

By: Steven F. Lott

Overview of this book

Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Defining and isolating units for testing

When we consider testing to be essential, testability is an important design consideration for object-oriented programming. Our designs must also support testing and debugging, because a class that merely appears to work is of no value. A class that has evidence that it works is much more valuable.

Different types of tests form a kind of hierarchy. At the foundation of that hierarchy is unit testing. Here, we test each class or function in isolation to be sure that it meets the contractual obligations of the API. Each class or function is an isolated unit under test. Above this layer comes integration testing. Once we know that each class and function works individually, we can test groups and clusters of classes. We can test whole modules and whole packages too. Once the integration tests work, the next layer is the automated testing of...