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Clean Code in Python

Clean Code in Python - Second Edition

By : Anaya
4.6 (34)
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Clean Code in Python

Clean Code in Python

4.6 (34)
By: 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)
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11
Other Books You May Enjoy
12
Index

Design principles and unit testing

In this section, we are first going to take a look at unit testing from a conceptual point of view. We will revisit some of the software engineering principles we discussed in the previous chapter to get an idea of how this is related to clean code.

After that, we will discuss in more detail how to put these concepts into practice (at the code level), and what frameworks and tools we can make use of.

First, we quickly define what unit testing is about. Unit tests are code in charge of validating other parts of the code. Normally, anyone would be tempted to say that unit tests validate the "core" of the application, but such a definition regards unit tests as secondary, which is not the way they are thought of in this book. Unit tests are core, and a critical component of the software and they should be treated with the same considerations as the business logic.

A unit test is a piece of code that imports parts of the code with...

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Clean Code in Python
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