Clean Code in Python: Second Edition

Code## Key Features## Book DescriptionWith 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.* Set up a productive development environment by leveraging automatic tools* Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details* Create advanced object-oriented designs using unique features of Python, such as descriptors* Eliminateduplicated code by creating powerful abstractions using software engineering principles of object-oriented design* Create Python-specific solutions using decorators and descriptors* Refactor code effectively with the help of unit tests* Build the foundations for solid architecture with a clean code base as its cornerstoneThis book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming1. Introduction, Code Formatting, and Tools2. Pythonic Code3. General Traits of Good Code4. The SOLID Principles5. Using Decorators to Improve Our Code6. Getting More Out of Our Objects with Descriptors7. Generators, Iterators, and Asynchronous Programming8. Unit Testing and Refactoring9. Common Design Patterns10. Clean Architecture