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

The __hash__() method

The built-in hash() function invokes the __hash__() method of a given object. This hash is a calculation that reduces a (potentially complex) value to a small integer value. Ideally, a hash reflects all the bits of the source value. Other hash calculations – often used for cryptographic purposes – can produce very large values.

Python includes two hash libraries. The cryptographic-quality hash functions are in hashlib. The zlib module also has two high-speed hash functions: adler32() and crc32(). For the most common cases, we don't use any of these library functions. They're only needed to hash extremely large, complex objects.

The hash() function (and the associated __hash__() method) is used to create a small integer key that is used to work with collections, such as set, frozenset, and dict. These collections use the hash value...