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.
Table of Contents (13 chapters)
11
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12
Index

Introduction

We'll start first by understanding what clean code is, and why this is important for a software engineering project for it to be successful. In the first two sections, we will learn how important it is to maintain good code quality in order to work efficiently.

Then we'll discuss some exceptions to these rules: that is, situations in which it might even be cost-effective to not refactor our code to pay off all its technical debt. After all, we cannot simply expect general rules to apply everywhere, as we know there are exceptions. The important bit here is to properly understand why we would be willing to make an exception and identify these kinds of situations properly. We wouldn't want to mislead ourselves into thinking something shouldn't be improved when in fact it should.

The meaning of clean code

There is no sole or strict definition of clean code. Moreover, there is probably no way of formally measuring clean code, so you cannot...