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

Decorators are powerful tools in Python that can be applied to many things such as classes, methods, functions, generators, and many more. We have demonstrated how to create decorators in different ways, and for different purposes, and drew some conclusions along the way.

When creating a decorator for functions, try to make its signature match the original function being decorated. Instead of using the generic *args, and **kwargs, making the signature match the original one will make it easier to read, and maintain, and it will resemble the original function more closely, so it will be more familiar to readers of that code.

Decorators are a very useful tool for reusing code and following the DRY principle. However, their usefulness comes at a cost, and if they are not used wisely, the complexity can do more harm than good. For that reason, we emphasize that decorators...