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

Creating a shelf

The first part of creating a shelf is done using a module-level function, shelve.open(), to create a persistent shelf structure. The second part is closing the file properly so that all changes are written to the underlying filesystem. We'll look at this in a more complete example, in the Designing an access layer for shelve section.

Under the hood, the shelve module is using the dbm module to do the real work of opening a file and mapping from a key to a value. The dbm module itself is a wrapper around an underlying DBM-compatible library. Consequently, there are a number of potential implementations for the shelve features. The good news is that the differences among the dbm implementations are largely irrelevant.

The shelve.open() module function requires two parameters: the filename and the file access mode. Often, we want the default mode of 'c...