Mastering Python Design Patterns

A guide to creating smart, efficient, and reusable software, 2nd Edition. Python is an object-oriented, scripting language that is used in wide range of categories. In software engineering, a design pattern is a recommended solution to a software design problem. Although not new, design patterns remain one of the hottest topics in software engineering and they come as a ready reference for software developers to .

Exploit various design patterns to master the art of solving problems using Python

• Master the application design using the core design patterns and latest features of Python 3.7
• Learn tricks to solve common design and architectural challenges
• Choose the right plan to improve your programs and increase their productivity

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.

• Explore Factory Method and Abstract Factory for object creation
• Clone objects using the Prototype pattern
• Make incompatible interfaces compatible using the Adapter pattern
• Secure an interface using the Proxy pattern
• Choose an algorithm dynamically using the Strategy pattern
• Keep the logic decoupled from the UI using the MVC pattern
• Leverage the Observer pattern to understand reactive programming
• Explore patterns for cloud-native, microservices, and serverless architectures

This book is for intermediate Python developers. Prior knowledge of design patterns is not required to enjoy this book.

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