Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


In this chapter, we took a detailed tour of object-oriented design patterns, and found out new and different ways of implementing them in Python. We started with an overview of Design Patterns and their classification into Creational, Structural, and Behavioral patterns.

We went on to see an example of a Strategy design pattern, and saw how to implement this in a Pythonic manner. We then began our formal discussion of patterns in Python.

In Creational patterns, we covered the Singleton, Borg, Prototype, Factory, and Builder patterns. We saw why Borg is usually a better approach than the Singleton in Python due to its ability to keep state across class hierarchies. We saw the interplay between the Builder, Prototype, and Factory patterns, and saw a few examples. Everywhere possible, metaclass discussions were introduced, and pattern implementations were done using metaclasses.

In Structural patterns, our focus was on the Adapter, façade, and Proxy patterns. We saw detailed examples using...