Clean Code in Python: Refactor your legacy code base (English Edition)

Getting the most out of Python to improve your codebase

Key Features


Save maintenance costs by learning to fix your legacy codebase

Learn the principles and techniques of refactoring

Apply microservices to your legacy systems by implementing practical techniques




Book Description

Python is currently used in many different areas such as software construction, systems administration, and data processing.

In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them.

The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.

By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.

What you will learn


Set up tools to effectively work in a development environment

Explore how the magic methods of Python can help us write better code

Examine the traits of Python to create advanced object-oriented design

Understand removal of duplicated code using decorators and descriptors

Effectively refactor code with the help of unit tests

Learn to implement the SOLID principles in Python