Book Image

Clean Code in Python

By : Mariano Anaya
2 (1)
Book Image

Clean Code in Python

2 (1)
By: Mariano Anaya

Overview of this book

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.
Table of Contents (12 chapters)

Summary

The principles for good software design apply on all levels. In the same way that we want to write readable code, and for that we need to mind the intention revealing degree of the code, the architecture also has to express the intent of the problem it is trying to solve.

All these ideas are interconnected. The same intention revealing that ensures our architecture is defined in terms of the domain problem also leads us to abstract details as much as possible, create layers of abstraction, invert dependencies, and separate concerns.

When it comes to reusing code, Python packages are a great and flexible alternative. Criteria, such as cohesion and the single responsibility principle (SRP), are the most important considerations when deciding to create a package. In line with having components with cohesion and few responsibilities, the concept of microservices comes into...