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

Patterns for dynamic languages


Python is a dynamic language like Lisp. The dynamic nature of Python can be represented as follows:

  • Types or classes are objects at runtime.

  • Variables can have type as a value and can be modified at runtime. For example, a = 5 and a = "John", the a variable is assigned at runtime and type also gets changed.

  • Dynamic languages have more flexibility in terms of class restrictions.

  • For example, in Python, polymorphism is built into the language, there are no keywords such as private and protected and everything is public by default.

  • Represents a case where design patterns can be easily implemented in dynamic languages.