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

Using decorators for security

Software is filled with cross-cutting concerns, aspects that need to be implemented consistently, even if they're in separate class hierarchies. It's often a mistake to try and impose a class hierarchy around a cross-cutting concern. We've looked at a few examples, such as logging and auditing.

We can't reasonably demand that every class that might need to write to the log also be a subclass of some single Loggable superclass. It's much easier to design a Loggable mixin or a @loggable decorator. These don't interfere with the proper inheritance hierarchy that we need to design to make polymorphism work correctly.

Some important cross-cutting concerns revolve around security. Within a web application, there are two aspects to the security question as follows:

  • Authentication: Do we know who's making the request?
  • Authorization...