Book Image

Python Object-Oriented Programming - Fourth Edition

By : Steven F. Lott, Dusty Phillips
2 (1)
Book Image

Python Object-Oriented Programming - Fourth Edition

2 (1)
By: Steven F. Lott, Dusty Phillips

Overview of this book

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python’s classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python’s exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.
Table of Contents (17 chapters)
15
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16
Index

Serializing objects

We've been working with bytes and file paths as foundations that support working with persistent objects. To make an object persistent, we need to create a series of bytes that represent the state of the object, and write those bytes to a file. The missing piece of persistence, then, is this process of encoding objects as a series of bytes. We also want to decode objects and their relationships from a series of bytes. This encoding and decoding is also described as serializing and deserializing.

When we look at web services, we'll often see a service described as RESTful. The "REST" concept is REpresentational State Transfer; the server and client will exchange representations of object states. The distinction here can be helpful: the two pieces of software don't exchange objects. The applications have their own internal objects; they exchange a representation of object state.

There are several ways to serialize objects. We...