Learning Python Design Patterns - Second Edition - Chetan Giridhar - E-Book

Learning Python Design Patterns - Second Edition E-Book

Chetan Giridhar

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Beschreibung

Leverage the power of Python design patterns to solve real-world problems in software architecture and design

About This Book

  • Understand the structural, creational, and behavioral Python design patterns
  • Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development
  • Get practical exposure through sample implementations in Python v3.5 for the design patterns featured

Who This Book Is For

This book is for Software architects and Python application developers who are passionate about software design. It will be very useful to engineers with beginner level proficiency in Python and who love to work with Python 3.5

What You Will Learn

  • Enhance your skills to create better software architecture
  • Understand proven solutions to commonly occurring design issues
  • Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle and the Open Close principle among others
  • Delve into the object-oriented programming concepts and find out how they are used in software applications
  • Develop an understanding of Creational Design Patterns and the different object creation methods that help you solve issues in software development
  • Use Structural Design Patterns and find out how objects and classes interact to build larger applications
  • Focus on the interaction between objects with the command and observer patterns
  • Improve the productivity and code base of your application using Python design patterns

In Detail

With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns.

Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python's latest release, Python v3.5.

We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Facade patterns in detail. After this, we'll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns.

By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development.

Style and approach

This is an easy-to-follow guide to design patterns with hands-on examples of real-world scenarios and their implementation in Python v3.5. Each topic is explained and placed in context, and for the more inquisitive, there are more details on the concepts used.

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Veröffentlichungsjahr: 2016

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Table of Contents

Learning Python Design Patterns Second Edition
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Support files, eBooks, discount offers, and more
Why subscribe?
Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Introduction to Design Patterns
Understanding object-oriented programming
Objects
Classes
Methods
Major aspects of object-oriented programming
Encapsulation
Polymorphism
Inheritance
Abstraction
Composition
Object-oriented design principles
The open/close principle
The inversion of control principle
The interface segregation principle
The single responsibility principle
The substitution principle
The concept of design patterns
Advantages of design patterns
Taxonomy of design patterns
Context – the applicability of design patterns
Patterns for dynamic languages
Classifying patterns
Creational patterns:
Structural patterns
Behavioral patterns
Summary
2. The Singleton Design Pattern
Understanding the Singleton design pattern
Implementing a classical Singleton in Python
Lazy instantiation in the Singleton pattern
Module-level Singletons
The Monostate Singleton pattern
Singletons and metaclasses
A real-world scenario – the Singleton pattern, part 1
A real-world scenario – the Singleton pattern, part 2
Drawbacks of the Singleton pattern
Summary
3. The Factory Pattern – Building Factories to Create Objects
Understanding the Factory pattern
The Simple Factory pattern
The Factory Method pattern
Implementing the Factory Method
Advantages of the Factory method pattern
The Abstract Factory pattern
Implementing the Abstract Factory pattern
The Factory method versus Abstract Factory method
Summary
4. The Façade Pattern – Being Adaptive with Façade
Understanding Structural design patterns
Understanding the Façade design pattern
A UML class diagram
Façade
System
Client
Implementing the Façade pattern in the real world
The principle of least knowledge
Frequently asked questions
Summary
5. The Proxy Pattern – Controlling Object Access
Understanding the Proxy design pattern
A UML class diagram for the Proxy pattern
Understanding different types of Proxies
A virtual proxy
A remote proxy
A protective proxy
A smart proxy
The Proxy pattern in the real world
Advantages of the Proxy pattern
Comparing the Façade and Proxy patterns
Frequently asked questions
Summary
6. The Observer Pattern – Keeping Objects in the Know
Introducing Behavioral patterns
Understanding the Observer design pattern
A UML class diagram for the Observer pattern
The Observer pattern in the real world
The Observer pattern methods
The pull model
The push model
Loose coupling and the Observer pattern
The Observer pattern – advantages and disadvantages
Frequently asked questions
Summary
7. The Command Pattern – Encapsulating Invocation
Introducing the Command pattern
Understanding the Command design pattern
A UML class diagram for the Command pattern
Implementing the Command pattern in the real world
Design considerations
Advantages and disadvantages of Command patterns
Frequently asked questions
Summary
8. The Template Method Pattern – Encapsulating Algorithm
Defining the Template Method pattern
Understanding the Template Method design pattern
A UML class diagram for the Template Method pattern
The Template Method pattern in the real world
The Template Method pattern – hooks
The Hollywood principle and the Template Method
The advantages and disadvantages of the Template Method pattern
Frequently asked questions
Summary
9. Model-View-Controller – Compound Patterns
An introduction to Compound patterns
The Model-View-Controller pattern
Model – knowledge of the application
View – the appearance
Controller – the glue
A UML class diagram for the MVC design pattern
The MVC pattern in the real world
Modules
Benefits of the MVC pattern
Frequently asked questions
Summary
10. The State Design Pattern
Defining the State design pattern
Understanding the State design pattern
Understanding the State design pattern with a UML diagram
A simple example of the State design pattern
The State design pattern with v3.5 implementation
Advantages/disadvantages of the State pattern
Summary
11. AntiPatterns
An introduction to AntiPatterns
Software development AntiPatterns
Spaghetti code
Golden Hammer
Lava Flow
Copy-and-paste or cut-and-paste programming
Software architecture AntiPatterns
Reinventing the wheel
Vendor lock-in
Design by committee
Summary
Index

Learning Python Design Patterns Second Edition

Learning Python Design Patterns Second Edition

Copyright © 2016 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, and its dealers and distributors will be held liable for any damages caused or alleged to be 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.

First published: November 2013

Second edition: February 2016

Production reference: 1080216

Published by Packt Publishing Ltd.

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ISBN 978-1-78588-803-8

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Credits

Author

Chetan Giridhar

Reviewer

Maurice HT Ling

Commissioning Editor

Kunal Parikh

Acquisition Editor

Denim Pinto

Content Development Editor

Merint Thomas Mathew

Technical Editor

Chinmay S. Puranik

Copy Editor

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Project Coordinator

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Proofreader

Safis Editing

Indexer

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Graphics

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Production Coordinator

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Cover Work

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Foreword

 

"Controlling complexity is the essence of computer programming."

  --Brian Kernighan
 

"All problems in computer science can be solved by another level of indirection (abstraction)."

  --David Wheeler

The preceding two quotes by two well known computer scientists illustrate the problem faced by the modern software designer—coming up with a good, stable, reusable, flexible solution to a software design problem.

Design patterns solve the preceding problems in the most elegant way. Design patterns abstract and present in neat, well-defined components and interfaces the experience of many software designers and architects over many years of solving similar problems. These are solutions that have withstood the test of time with respect to reusability, flexibility, scalability, and maintainability.

There have been many books on design patterns with the well-known Gang of Four (GoF) book forming the cornerstone of nearly the entire domain.

However, in this era of web and mobile computing, where programs tend to get written in high-level languages such as Python, Ruby, and Clojure, there is often a need for books that translate the rather esoteric language used in such books into more familiar terms, with reusable code written in these newer, more dynamic programming languages. This is especially true when it comes to newbie programmers who often tend to get lost in the complexities of design versus implementation and often require an expert helping hand.

This book fulfills that role very well. It uses the template of design patterns as laid out in the GoF book and adds a few others as well for completion—but before jumping into the patterns itself, gives the young and inexperienced reader the fundamentals of software design principles that have gone into the thinking behind the creation and evolution of these design patterns. It doesn't walk the gentle reader blindly into the maze of the pattern world, but lays out the fundamentals well before opening that door and carrying the reader along that path of learning.

The book is written with Python as the language for implementing the sample code for the patterns—and this makes excellent sense. As someone who has spent more than 12 years in the company of this wonderful programming language, I can attest to its beauty and simplicity and its effectiveness in solving problems ranging from routine to the most complex. Python is ideally suited to the rookie and young programmer, and with the ease of learning it, it is also a lot of fun to code in. The young programmer would find their time spent in the company of Python along in this book very rewarding and fruitful.

Chetan Giridhar has been working and contributing to Python for well over 7 years. He is ideally suited for the job of penning a book like this, as he has gone through some of the cycles of learning the complexities of implementation and design himself and has learned well through that process. He is a well-known speaker on a number of varied topics in Python and has delivered well-attended talks at Python conferences, such as PyCon India. He was amongst the invited speakers for conferences in the USA, Asia-Pacific, and New Zealand.

I believe this book, Learning Python Design Patterns, Second Edition, would be an excellent addition to the Learning series by Packt Publishing and would provide a set of skills to the toolbox of the young Python programmer that would take them gently and expertly to being able to design modular and efficient programs in Python.

Anand B Pillai

CTO—Skoov.com

Board Member—Python Software Foundation

Founder—Bangalore Python User's Group

About the Author

Chetan Giridhar is a technology leader, open source enthusiast, and Python developer. He has written multiple articles on technology and development practices in magazines such as LinuxForYou and Agile Record, and has published technical papers in the Python Papers journal. He has been a speaker at PyCon conferences such as PyCon India, Asia-Pacific, and New Zealand and loves working on real-time communications, distributed systems, and cloud applications. Chetan has been a reviewer at Packt Publishing and has contributed to books on IPython Visualizations and Core Python.

I'd like to thank the Packt Publishing team, especially Merint Thomas Mathew, and the technical reviewer, Maurice HT Ling, for bringing out the best content in this book. Special thanks to my mentor, Anand B Pillai, for graciously accepting to review this book and writing the foreword. This book wouldn't be possible without the blessings of my parents, Jyotsana and Jayant Giridhar, and constant support and encouragement from my wife, Deepti, and my daughter, Pihu!

About the Reviewer

Maurice HT Ling has been programming in Python since 2003. Having completed his Ph D in bioinformatics and B Sc (honors) in molecular and cell biology from The University of Melbourne, he is currently a research fellow in Nanyang Technological University, Singapore, and an honorary fellow at The University of Melbourne, Australia. Maurice is the chief editor for computational and mathematical biology, and co-editor for The Python Papers. Recently, Maurice cofounded the first synthetic biology startup in Singapore, AdvanceSyn Pte. Ltd., as a director and chief technology officer. He is also the principal partner of Colossus Technologies LLP, Singapore. His research interests lie in life—biological life, artificial life, and artificial intelligence—using computer science and statistics as tools to understand life and its numerous aspects. In his free time, Maurice likes to read, enjoy a cup of coffee, write his personal journal, or philosophize on various aspects of life. You can reach him at his website and on his LinkedIn profile at http://maurice.vodien.com and http://www.linkedin.com/in/mauriceling, respectively.

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Preface

Design patterns are among the most powerful methods of building large software systems. With an increasing focus on optimized software architecture and design, it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low, and code can be easily reused and is adaptable to change. Moreover, providing frameworks for reusability and separation of concerns is key to software development today.

What this book covers

Chapter 1, Introduction to Design Patterns, goes through the basics of object-oriented programming and discusses object-oriented design principles in detail. This chapter gives a brief introduction to the concept of design patterns so that you will be able to appreciate the context and application of design patterns in software development.

Chapter 2, The Singleton Design Pattern, covers one of the simplest and well-known Creational design patterns used in application development—the Singleton design pattern. The different ways in which we can create a Singleton pattern in Python are also covered in this chapter along with examples. This chapter also covers the Monostate (or Borg) design pattern, which is a variant of the Singleton design pattern.

Chapter 3, The Factory Pattern – Building Factories to Create Objects, discusses another creational pattern, the Factory pattern. You will also learn about the Factory Method pattern and Abstract Factory pattern with a UML diagram, real-world scenarios, and Python v3.5 implementations.

Chapter 4, The Façade Pattern – Being Adaptive with Façade, shows you another type of design pattern, the Structural design pattern. We will be introduced to the concept of Façade and learn how it is applicable to software design with the help of the Façade design pattern. You'll also learn its implementation with a sample Python application using a real-world scenario.

Chapter 5, The Proxy Pattern – Controlling Object Access, deals with the Proxy pattern that falls into the category of Structural design patterns. We will be introduced to the Proxy as a concept and discuss the design pattern and see how it is used in software application development. You'll also learn about the different variants of the Proxy pattern—Virtual Proxy, Smart Proxy, Remote Proxy, and Protective Proxy.

Chapter 6, The Observer Pattern – Keeping Objects in the Know, talks about the third type of design pattern—the behavioral design pattern. We will be introduced to the Observer design pattern with examples. In this chapter, you'll learn how to implement the Push and Pull models of the Observer pattern and the principles of loose coupling. We'll also see how this pattern is critical when it comes to applying it to cloud applications and distributed systems.

Chapter 7, The Command Pattern – Encapsulating Invocation, tells you about the Command design pattern. We will be introduced to the Command design pattern and discuss how it is used in software application development with a real-world scenario and Python implementation. We will also study two main aspects of the Command pattern—an implementation of redo/rollback operations and asynchronous task execution.

Chapter 8, The Template Method Pattern – Encapsulating Algorithm, discusses the Template design pattern. Like the Command pattern, the Template pattern falls into the category of Behavioral patterns. Here, we discuss the Template method pattern, and you will learn about Hooks with an implementation. We'll also cover the Hollywood principle that helps us appreciate this pattern better.

Chapter 9, Model-View-Controller – Compound Patterns, talks about Compound patterns. We will be introduced to the Model-View-Controller design pattern and discuss how it is used in software application development. MVC is easily one of the most used design patterns; in fact, many Python frameworks are based on this principle. You will learn about the details of MVC implementation with an example application written in Python Tornado (a framework used by Facebook).

Chapter 10, The State Design Pattern, introduces you to the State design pattern, which falls into the category of Behavioral patterns just like the Command or Template design patterns. We will discuss how it is used in software application development.

Chapter 11, AntiPatterns, tells you about AntiPatterns—what we shouldn't do as architects or software engineers.

What you need for this book

All you need is Python v3.5, and you can download it from https://www.python.org/downloads/.

Who this book is for

This book is for Python developers and software architects who care about software design principles and details of application development aspects in Python. It requires a basic understanding of programming concepts and beginner-level Python development experience. It will also be helpful for students and teachers in live learning environments.

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Chapter 1. Introduction to Design Patterns