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Lott - Mastering Object-Oriented Python: Build powerful applications with reusable code using OOP design patterns and Python 3.7, 2nd Edition

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Mastering Object-Oriented Python: Build powerful applications with reusable code using OOP design patterns and Python 3.7, 2nd Edition: summary, description and annotation

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Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principlesKey Features Extend core OOP techniques to increase integration of classes created with Python Explore various Python libraries for handling persistence and object serialization Learn alternative approaches for solving programming problems, with different attributes to address your problem domain Book DescriptionObject-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each languages unique features. With the help of the latest edition of Mastering Objected-Oriented Python, youll 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, youll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, youll 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.What you will learn Explore a variety of different design patterns for the __init__() method Learn to use Flask to build a RESTful web service Discover SOLID design patterns and principles Use the features of Python 3s abstract base Create classes for your own applications Design testable code using pytest and fixtures Understand how to design context managers that leverage the with statement Create a new type of collection using standard library and design techniques Develop new number types above and beyond the built-in classes of numbers Who this book is forThis book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required to make the most out of this book. Knowledge of concepts related to object-oriented design patterns will also be useful.Table of Contents Preliminaries, Tools, and Techniques The __init__() Method Integrating Seamlessly - Basic Special Methods Attribute Access, Properties, and Descriptors The ABCs of Consistent Design Using Callables and Contexts Creating Containers and Collections Creating Numbers Decorators and Mixins - Cross-cutting Aspects Serializing and Saving - JSON, YAML, Pickle, CSV, and XML Storing and Retrieving Objects via Shelve Storing and Retrieving Objects via SQLite Transmitting and Sharing Objects Configuration Files and Persistence Design Principles and Patterns The Loggin

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Mastering Object-Oriented Python Second Edition Build powerful - photo 1
Mastering Object-Oriented Python
Second Edition
Build powerful applications with reusable code using OOP design patterns and Python 3.7
Steven F. Lott

BIRMINGHAM - MUMBAI Mastering Object-Oriented PythonSecond Edition Copyright - photo 2

BIRMINGHAM - MUMBAI
Mastering Object-Oriented PythonSecond Edition

Copyright 2019 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Richa Tripathi
Acquisition Editor: Chaitanya Nair
Content Development Editor: Zeeyan Pinheiro
Senior Editor: Afshaan Khan
Technical Editor: Ketan Kamble
Copy Editor: Safis Editing
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Proofreader: Safis Editing
Indexer: Manju Arasan
Production Designer: Jayalaxmi Raja

First published: April 2014
Second edition: June 2019

Production reference: 1130619

Published by Packt Publishing Ltd.
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B3 2PB, UK.

ISBN 978-1-78953-136-7

www.packtpub.com

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Contributors
About the author

Steven F. Lott has been programming since the 1970s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large ones. He's been using Python to solve business problems for over 10 years. His other titles with Packt include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming Second Edition, Python for Secret Agents, and Python for Secret Agents II. Steven is currently a technomad who lives in various places on the East Coast of the US. You can follow him on Twitter via the handle @s_lott.

About the reviewers

Cody Jackson is a disabled military veteran, the founder of Socius Consulting an IT and business management consulting company in San Antonio and a cofounder of Top Men Technologies. He is currently employed at CACI International as the lead ICS/SCADA modeling and simulations engineer. He has been involved in the tech industry since 1994, when he joined the Navy as a nuclear chemist and Radcon Technician. Prior to CACI, he worked at ECPI University as a computer information systems adjunct professor. A self-taught Python programmer, he is the author of Learning to Program Using Python and Secret Recipes of the Python Ninja. He holds an Associate in Science degree, a Bachelor of Science degree, and a Master of Science degree.

Hugo Solis is an assistant professor in the Physics Department at the University of Costa Rica. His current research interests are computational cosmology, complexity, cryptography, and the influence of hydrogen on material properties. He has vast experience with languages, including C/C++ and Python for scientific programming. He is a member of the Free Software Foundation and has contributed code to some free software projects. He has also been a technical reviewer for Hands-On Qt for Python Developers and Learning Object-Oriented Programming, and he is the author of the Kivy Cookbook from Packt Publishing. Currently, he is in charge of the IFT, a Costa Rican scientific nonprofit organization for the multidisciplinary practice of physics.

I'd like to thank Katty Sanchez, my beloved mother, for her support and vanguard thoughts.
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Preface

This book will introduce you to many advanced features of the Python programming language. The focus is on creating the highest quality Python programs possible. This requires exploring design alternatives and determining which design offers the best performance while still being a good fit for the problem that is being solved.

The majority of this book showcases a number of alternatives for a given design. Some will offer better performance, while some will appear simpler or be a better solution to the problem domain. It's essential to locate the best algorithms alongside optimal data structures in order to create the most value with the least computer processing. Time is money, and programs that save time will create more value for their users. Python makes a number of internal features directly available to our application programs. This means that our programs can be very tightly integrated with existing Python features. We can leverage numerous Python features by ensuring that our object-oriented designs (OODs) integrate well.

As we explore different algorithms and data structures, we'll discover different memory and performance alternatives. It's an important OOD skill to be able to work through alternate solutions in order to properly optimize the final application. One of the more important themes of this book is that there's no single best approach to any problem.

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