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

Mapping Python objects to database rows manually

We can map SQL rows to class definitions so that we can create proper Python object instances from the data in a database. If we're careful with our database and class definitions, this isn't impossibly complex. If, however, we're careless, we can create Python objects where the SQL representation is quite complex. One consequence of the complexity is that numerous queries are involved in mapping between object and database rows. The challenge is to strike a balance between object-oriented design and the constraints imposed by the SQL database.

We will have to modify our class definitions to be more aware of the SQL implementation. We'll make several modifications to the Blog and Post class designs shown in Chapter 11, Storing and Retrieving Objects via Shelve.

Here's a Blog class definition:

@dataclass
class...