Design pattern python pdf

Design Patterns in Python

This paper implements some of the better known design patterns in Python, whose object model is quite different from that of conventional objectoriented languages, acquiring some insight into the generality of the patterns in the context of Python. Expand

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HappyFace as a monitoring tool for the ATLAS experiment

A new implementation and an architecture of HappyFace is proposed, the so-called grid-enabled HappyFace, which allows its basic framework to connect directly to the grid user applications and the grid collective services, without involving the monitoring resources in the HEP grid systems. Expand

Selective friends in C++

There is a strong prejudice against the friendship access control mechanism in C++, but if it is used judiciously (like using the attorney‐client idiom), they may be better choice than widening the public interface of the class. Expand

A First Attempt on the Distributed Prize Collecting Steiner Tree Problem

This work designs and simulates a distributed algorithm to solve a novel variant of the Price Collecting Steiner Tree (PCST) problem, and introduces a simple MST-based heuristic that runs on a custom Python simulator. Expand

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Mastering-Python-Design-Patterns-Second-Edition, published by Packt

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README.md

Mastering Python Design Patterns, Second Edition

This is the code repository for Mastering Python Design Patterns, Second Edition, published by Packt.

A guide to creating smart, efficient, and reusable software

Python is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You’ll also find sections on corrections, best practices, system architecture, and its designing aspects. This book covers the following exciting features:

• Explore Factory Method and Abstract Factory for object creation
• Clone objects using the Prototype pattern
• Make incompatible interfaces compatible using the Adapter pattern
• Secure an interface using the Proxy pattern
• Choose an algorithm dynamically using the Strategy pattern

If you feel this book is for you, get your copy today!

• Chapter 9, Implementation of Proxy Pattern section: The code block following the sentence «Let’s recapitulate the full code of the proxy.py file:» is incorrect. The correction can be found at https://github.com/PacktPublishing/Mastering-Python-Design-Patterns-Second-Edition/blob/master/ERRATUM-PYTHON-DESIGN-PATTERN-PROXY.pdf.

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

class Musician: def __init__(self, name): self.name = name def __str__(self): return f'the musician ' def play(self): return 'plays music' 

Following is what you need for this book: This book is for intermediate Python developers. Prior knowledge of design patterns is not required to enjoy this book.

With the following software and hardware list you can run all code files present in the book (Chapter 1-15).

Software and Hardware List

Chapter	Software required	OS required
All chapters	Python 3.6.x	Windows, Mac OS X, and Linux (Any)
Chapter 15	SQLite 3.22.0 or later	Windows, Mac OS X, and Linux (Any)
Chapter 15	RabbitMQ 3.7.7	Windows, Mac OS X, and Linux (Any)

Kamon Ayeva is a web developer/DevOps engineer working with a variety of tools. He spends most of his time building projects using Python’s powerful scripting capabilities, add-on libraries, and web frameworks such as Django or Flask. Kamon has been using Python in professional contexts for more than 12 years. He is also a Python instructor with a passion for teaching how to use Python features to quickly produce results.

Sakis Kasampalis is a software engineer living in the Netherlands. He is not dogmatic about particular programming languages and tools; his principle is that the right tool should be used for the right job. One of his favorite tools is Python because he finds it very productive. Sakis was also the technical reviewer of Mastering Object-oriented Python and Learning Python Design Patterns, published by Packt Publishing.

Click here if you have any feedback or suggestions.

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Mastering Python design patterns : create various design patterns to master the art of solving problems using Python

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python

«Community experience distilled»—Cover

Online resource; title from PDF title page (ebrary, viewed February 28, 2015)

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Factory Pattern; Factory Method; A real-life example; A software example; Use cases; Implementation; Abstract Factory; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 2: The Builder Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 3: The Prototype Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 4: The Adapter Pattern; A real-life example

A software exampleUse cases; Implementation; Summary; Chapter 5: The Decorator Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 6: The Facade Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 7: The Flyweight Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 8: The Model-View-Controller Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 9: The Proxy Pattern; A real-life example; A software example; Use cases

ImplementationSummary; Chapter 10: The Chain of Responsibility Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 11: The Command Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 12: The Interpreter Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 13: The Observer Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Chapter 14: The State Pattern; A real-life example; A software example; Use cases; Implementation; Summary

Chapter 15: The Strategy PatternA real-life example; A software example; Use cases; Implementation; Summary; Chapter 16: The Template Pattern; A real-life example; A software example; Use cases; Implementation; Summary; Index

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Code repository for Python Master the Art of Design Patterns, by Packt

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README.md

• Discover what design patterns are and how to apply them to writing Python
• Implement objects in Python by creating classes and defining methods
• Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface
• Understand when to use object-oriented features, and more importantly when not to use them
• Get to know proven solutions to common 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
• Use Structural Design Patterns and find out how objects and classes interact to build larger applications
• Improve the productivity and code base of your application using Python design patterns
• Secure an interface using the Proxy pattern

• Module 1: There are no code files present for Chapters 1 and 2
• Module 2: There are no code files present for Chapter 11

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

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Code repository for Python Master the Art of Design Patterns, by Packt

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