Book Image

Mastering Python Design Patterns - Second Edition

By : Kamon Ayeva, Sakis Kasampalis
Book Image

Mastering Python Design Patterns - Second Edition

By: Kamon Ayeva, Sakis Kasampalis

Overview of this book

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 fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You'll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you'll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.

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Table of Contents (17 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
The Factory Pattern
The Factory Pattern
The factory method
The abstract factory
Summary
2
The Builder Pattern
The Builder Pattern
Real-world examples
Use cases
Implementation
Summary
3
Other Creational Patterns
Other Creational Patterns
The prototype pattern
Singleton
Summary
4
The Adapter Pattern
The Adapter Pattern
Real-world examples
Use cases
Implementation
Summary
5
The Decorator Pattern
The Decorator Pattern
Real-world examples
Use cases
Implementation
Summary
6
The Bridge Pattern
The Bridge Pattern
Real-world examples
Use cases
Implementation
Summary
7
The Facade Pattern
The Facade Pattern
Real-world examples
Use cases
Implementation
Summary
8
Other Structural Patterns
Other Structural Patterns
The flyweight pattern
The model-view-controller pattern
The proxy pattern
Summary
9
The Chain of Responsibility Pattern
The Chain of Responsibility Pattern
Real-world examples
Use cases
Implementation
Summary
10
The Command Pattern
The Command Pattern
Real-world examples
Use cases
Implementation
Summary
11
The Observer Pattern
The Observer Pattern
Real-world examples
Use cases
Implementation
Summary
12
The State Pattern
The State Pattern
Real-world examples
Use cases
Implementation
Summary
13
Other Behavioral Patterns
Other Behavioral Patterns
Interpreter pattern
Strategy pattern
Memento pattern
Iterator pattern
Template pattern
Summary
14
The Observer Pattern in Reactive Programming
The Observer Pattern in Reactive Programming
Real-world examples
Use cases
Implementation
Summary
15
Microservices and Patterns for the Cloud
Microservices and Patterns for the Cloud
The Microservices pattern
The Retry pattern
The Circuit Breaker pattern
The Cache-Aside pattern
Throttling
Summary
16
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Use cases

Many developers use the undo example as the only use case of the Command pattern. The truth is that undo is the killer feature of the Command pattern. However, the Command pattern can actually do much more (j.mp/commddp):

  • GUI buttons and menu items: The PyQt example that was already mentioned uses the Command pattern to implement actions on buttons and menu items.
  • Other operations: Apart from undo, commands can be used to implement any operation. A few examples are cut, copy, paste, redo, and capitalize text.
  • Transactional behavior and logging: Transactional behavior and logging are important to keep a persistent log of changes. They are used by operating systems to recover from system crashes, relational databases to implement transactions, filesystems to implement snapshots, and installers (wizards) to revert canceled installations.
  • Macros: By macros, in this case...
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