Anaya Clean Code in Python

Write Scalable, Readable, and Maintainable Code with Modern Python
2. Auflage 2024
ISBN: 978-1-80056-209-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 422 Seiten

Write professional, scalable, and maintainable Python code by applying industry-approved clean coding principles. Learn to refactor, implement SOLID principles, and structure code efficiently using the latest features in Python 3.9Key Features - Enhance your coding skills using the new features introduced in Python 3.9
- Implement the refactoring techniques and SOLID principles in Python
- Apply microservices to your legacy systems by implementing practical techniques
Book DescriptionExperienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library 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. The book discusses object-oriented programming in Python and 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. What you will learn - 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
- Eliminate duplicated 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 cornerstone
Who this book is forThis book is intended for software engineers, team leads, and architects who want to write Pythonic, scalable, and maintainable code. It is ideal for professionals looking to improve code quality, enhance testability, and refactor large-scale projects efficiently. A basic understanding of Python and object-oriented programming is recommended.

Autoren/Hrsg.

Anaya, Mariano

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Introduction, Code Formatting, and Tools
- Pythonic Code
- General Traits of Good Code
- The SOLID Principles
- Using Decorators to Improve Our Code
- Getting More Out of Our Objects with Descriptors
- Generators, Iterators, and Asynchronous Programming
- Unit Testing and Refactoring
- Common Design Patterns
- Clean Architecture

Über Autor(innen)

Anaya Mariano :

Mariano Anaya is a software engineer who spends most of his time creating software with Python and mentoring fellow programmers. Mariano's principal areas of interest besides Python are software architecture, functional programming, distributed systems, and speaking at conferences. He was a speaker at Euro Python 2016 and 2017. To know more about him, you can refer to his GitHub account with the username rmariano. His speakerdeck username is rmariano.