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

Additional composite Command design patterns

We can identify a number of composite Command design patterns. In the previous example, we designed a composite object that implemented a sequence of operations. For inspiration, we can look at the bash shell composite operators: ;, &, |, as well as () for grouping. Beyond these, we have if, for, and while loops within the shell.

We looked at the semantic equivalent of the shell sequence operator, ;, in the Command_Sequence class definition. This concept of a sequence is so ubiquitous that many programming languages (such as the shell and Python) don't require an explicit operator; the shell's syntax simply uses end-of-line as an implied sequence operator.

The shell's & operator creates two commands that run concurrently instead of sequentially. We can create a Command_Concurrent class definition with...