Clean Code in Python

Improve your software engineering practices to tackle inefficiencies, errors, and other perils that emerge due to bad code

Key Features

• Enhance your coding skills to increase efficiency as well as reflect the new features introduced in Python 3.9
• Understand how to apply microservices to your legacy systems by implementing practical techniques
• Learn to implement the refactoring techniques and SOLID principles in Python

Book Description

The Python language is immensely prevalent in numerous areas, such as software construction, systems administration, and data processing. Experienced professionals in every field face the challenges of disorganization, poor readability, and low testability as a result of unstructured code.

With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully.

The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design.

The book delves 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 problems by implementing software design patterns in your code. In the final chapter, we break down a monolithic application into a microservices based one starting from the code as the basis for a solid platform.

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

What you will learn

• Set up a productive development environment by leveraging automatic tools
• Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details
• Create advanced object-oriented designs using unique features of Python, such as descriptors
• Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design
• Create Python-specific solutions using decorators and descriptors
• Refactor code effectively with the help of unit tests
• Build the foundations for solid architecture with a clean code base as its cornerstone

Who this book is for

This book will appeal to team leads, software architects, and senior software engineers who want to learn Python coding techniques and work on their legacy systems to save cost and improve efficiency. The book assumes that you have a strong understanding of programming.

Table of Contents

1. Introduction, Code Formatting, and Tools
2. Pythonic Code
3. General Traits of Good Code
4. The SOLID Principles
5. Using Decorators to Improve Our Code
6. Getting More Out of Our Objects with Descriptors
7. Generators, Iterators, and Asynchronous Programming
8. Unit Testing and Refactoring
9. Common Design Patterns
10. Clean Architecture

Mariano Anaya is a software engineer who spends most of his time creating software with Python and mentoring fellow programmers. Mariano's main areas of interests besides Python are software architecture, functional programming, distributed systems, and speaking at conferences. He was a speaker at Euro Python 2016 and 2017. To know more about him, you can refer to his GitHub account with the username rmariano. His speakerdeck username is rmariano.