Book Image

Clean Code in Python - Second Edition

By : Mariano Anaya
Book Image

Clean Code in Python - Second Edition

By: Mariano Anaya

Overview of this book

Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to 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 discusses 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 concluding 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.

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Table of Contents (13 chapters)
Preface
Who this book is for?
What this book covers
To get the most out of this book
Get in touch
1
Introduction, Code Formatting, and Tools
Introduction, Code Formatting, and Tools
Introduction
Code formatting
Documentation
Tooling
Summary
References
Free Chapter
2
Pythonic Code
Pythonic Code
Indexes and slices
Context managers
Comprehensions and assignment expressions
Properties, attributes, and different types of methods for objects
Caveats in Python
A brief introduction to asynchronous code
Summary
References
3
General Traits of Good Code
General Traits of Good Code
Design by contract
Defensive programming
Separation of concerns
Acronyms to live by
Inheritance in Python
Arguments in functions and methods
Final remarks on good practices for software design
Summary
References
4
The SOLID Principles
The SOLID Principles
The single responsibility principle
The open/closed principle
Liskov's substitution principle
Interface segregation
Dependency inversion
Summary
References
5
Using Decorators to Improve Our Code
Using Decorators to Improve Our Code
What are decorators in Python?
More advanced decorators
Good uses for decorators
Effective decorators – avoiding common mistakes
Decorators and clean code
Summary
References
6
Getting More Out of Our Objects with Descriptors
Getting More Out of Our Objects with Descriptors
A first look at descriptors
Types of descriptors
Descriptors in action
Analysis of descriptors
Final remarks about descriptors
Summary
References
7
Generators, Iterators, and Asynchronous Programming
Generators, Iterators, and Asynchronous Programming
Technical requirements
Creating generators
Iterating idiomatically
Coroutines
Asynchronous programming
Summary
References
8
Unit Testing and Refactoring
Unit Testing and Refactoring
Design principles and unit testing
Tools for testing
Refactoring
More about testing
Summary
References
9
Common Design Patterns
Common Design Patterns
Design pattern considerations in Python
Design patterns in action
The null object pattern
Final thoughts about design patterns
Summary
References
10
Clean Architecture
Clean Architecture
From clean code to clean architecture
Software components
Summary
References
Summing it all up
11
Other Books You May Enjoy
Other Books You May Enjoy
12
Index
Index

Get in touch

Feedback from our readers is always welcome.

General feedback: Email [email protected] and mention the book's title in the subject of your message. If you have questions about any aspect of this book, please email us at [email protected].

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