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Mastering Object-Oriented Python

Mastering Object-Oriented Python

By : Steven F. Lott
3.8 (4)
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Mastering Object-Oriented Python

Mastering Object-Oriented Python

3.8 (4)
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)
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Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Writing effective docstrings

When writing docstrings, we need to focus on the essential information that our audience needs. When we look at using a library module, what do we need to know? Whatever questions we ask means that other programmers will often have similar questions. There are two boundaries that we should stay inside when we write docstrings:

  • It's best to avoid abstract overviews, high-level requirements, user stories, or background that is not tied directly to the code. We should provide the background in a separate document. A tool such as Sphinx can combine background material and code in a single document.
  • It's best to also avoid overly detailed how it works implementation trivia. The code is readily available, so there's no point in recapitulating the code in the documentation. If the code is too obscure, perhaps it should be rewritten to make...
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