Book Image

Learning Python Design Patterns - Second Edition - Second Edition

By : Chetan Giridhar, Gennadiy Zlobin
Book Image

Learning Python Design Patterns - Second Edition - Second Edition

By: Chetan Giridhar, Gennadiy Zlobin

Overview of this book

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 Façade 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.
Table of Contents (19 chapters)
Learning Python Design Patterns Second Edition
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

A real-world scenario – the Singleton pattern, part 1


As a practical use case, we will look at a database application to show the use of Singletons. Consider an example of a cloud service that involves multiple read and write operations on the database. The complete cloud service is split across multiple services that perform database operations. An action on the UI (web app) internally will call an API, which eventually results in a DB operation.

It's clear that the shared resource across different services is the database itself. So, if we need to design the cloud service better, the following points must be taken care of:

  • Consistency across operations in the database—one operation shouldn't result in conflicts with other operations

  • Memory and CPU utilization should be optimal for the handling of multiple operations on the database

A sample Python implementation is given here:

import sqlite3
class MetaSingleton(type):
    _instances = {}
    def __call__(cls, *args, **kwargs):
        if cls...