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

Filesystem and network considerations

As the OS filesystem (and network) works in bytes, we need to represent the values of an object's instance variables as a serialized stream of bytes. Often, we'll use a two-step transformation to get the bytes: firstly, we'll represent the state of an object as a string; secondly, we'll rely on the Python str class to provide bytes in a standard encoding. Python's built-in features for encoding a string into bytes neatly solves the second part of the problem. This allows most serialization methods to focus on creating strings.

When we look at our OS filesystems, we see two broad classes of devices: block-mode devices and character-mode devices. Block-mode devices can also be called seekable because the OS supports a seek operation that can access any byte in the file in an arbitrary order. Character-mode devices are...