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.
Table of Contents (17 chapters)

Template pattern

A key ingredient in writing good code is avoiding redundancy. In object-oriented programming (OOP), methods and functions are important tools that we can use to avoid writing redundant code.

Remember the sorted() example we saw when discussing the Strategy pattern. The sorted() function is generic enough that it can be used to sort more than one data structure (lists, tuples, and named tuples) using arbitrary keys. That's the definition of a good function.

Functions such as sorted() demonstrate the ideal case. In reality, we cannot always write one-hundred-percent generic code.

In the process of writing code that handles algorithms in the real world, we often end up writing redundant code. That's the problem solved by the Template design pattern. This pattern focuses on eliminating code redundancy. The idea is that we should be able to redefine certain...