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Clean Code in Python

Clean Code in Python

By : Mariano Anaya
3.7 (3)
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Clean Code in Python

Clean Code in Python

3.7 (3)
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)
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Frameworks and tools for testing

There are a lot of tools we can use for writing out unit tests, all of them with pros and cons and serving different purposes. But among all of them, there are two that will most likely cover almost every scenario, and therefore we limit this section to just them.

Along with testing frameworks and test running libraries, it's often common to find projects that configure code coverage, which they use as a quality metric. Since coverage (when used as a metric) is misleading, after seeing how to create unit tests we'll discuss why it's not to be taken lightly.

Frameworks and libraries for unit testing

In this section, we will discuss two frameworks for writing and running unit tests...

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