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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

Code formatting

Is clean code only about formatting and structuring the code? The short answer is no.

There are some coding standards like PEP-8 (https://www.python.org/dev/peps/pep-0008/) that state how the code should be written and formatted. In Python, PEP-8 is the most well-known standard, and that document provides guidelines on how we should write our programs, in terms of spacing, naming convention, line length, and more.

However, clean code is something else that goes far beyond coding standards, formatting, linting tools, and other checks regarding the layout of the code. Clean code is about achieving quality software and building a system that is robust and maintainable. A piece of code or an entire software component can be 100% compliant with PEP-8 (or any other guideline) and still not satisfy these requirements.

Even though formatting is not our main goal, not paying attention to the code structure has some perils. For this reason, we will first analyze...

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Clean Code in Python
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