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Learning Python Design Patterns - Second Edition

Learning Python Design Patterns - Second Edition - Second Edition

By : Giridhar, Zlobin
2.8 (13)
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Learning Python Design Patterns - Second Edition

Learning Python Design Patterns - Second Edition

2.8 (13)
By: Giridhar, 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 (13 chapters)
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12
Index

A UML class diagram for the Proxy pattern

We will now discuss the Proxy pattern with the help of the following UML diagram. As we discussed in the previous paragraph, the Proxy pattern has three main actors: the production house, Agent, and the Actor. Let's put these in a UML diagram and see how the classes look:

A UML class diagram for the Proxy pattern

As we observe the UML diagram, you'll realize that there are three main participants in this pattern:

  • Proxy: This maintains a reference that lets the Proxy access the real object. It provides an interface identical to the Subject so that Proxy can substitute the real subject. Proxies are also responsible for creating and deleting the RealSubject.
  • Subject: It provides a representation for both, the RealSubject and Proxy. As Proxy and RealSubject implement Subject, Proxy can be used wherever RealSubject is expected.
  • RealSubject: It defines the real object that the Proxy represents.

From the data structure's perspective, the UML diagram can be represented as follows:

  • Proxy...
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Learning Python Design Patterns - Second Edition
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