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Mastering Object-oriented Python

Mastering Object-oriented Python

By : Steven F. Lott
4.2 (13)
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Mastering Object-oriented Python

Mastering Object-oriented Python

4.2 (13)
By: Steven F. Lott

Overview of this book

This practical example-oriented guide will teach you advanced concepts of object-oriented programming in Python. This book will present detailed examples of almost all of the special method names that support creating classes that integrate seamlessly with Python's built-in features. It will show you how to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create persistent objects and transmit objects between processes. The book also covers logging, warnings, unit testing, configuration files, and how to work with the command line. This book is broken into three major parts: Pythonic Classes via Special Methods; Persistence and Serialization; Testing, Debugging, Deploying, and Maintaining. The special methods are broken down into several focus areas: initialization, basics, attribute access, callables, contexts, containers, collections, numbers, and more advanced techniques such as decorators and mixin classes.
Table of Contents (26 chapters)
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Mastering Object-oriented Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Some Preliminaries
1
Index

Literate programming


The idea of separating documentation from code can be viewed as an artificial distinction. Historically, we wrote documentation outside the code because the programming languages were relatively opaque and biased toward efficient compilation rather than clear exposition. Different techniques have been tried to reduce the distance between the working code and documentation about the code. Embedding more sophisticated comments, for example, is a long-standing tradition. Python takes this a step further by including a formal docstring in packages, modules, classes, and functions.

The literate programming approach to software development was pioneered by Don Knuth. The idea is that a single source document can produce efficient code as well as good-looking documentation. For machine-oriented assembler languages, and languages such as C, there's an additional benefit of moving away from the source language—a notation that emphasizes translation—toward a document that emphasizes...

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Tech Concepts
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Programming languages
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Mastering Object-oriented Python
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