August 2018
Intermediate to advanced
332 pages
9h 12m
English
Overview
"Clean Code in Python" is a thoughtfully written book that dives into the art and science of creating clean, efficient, and maintainable Python code. You will explore essential coding principles, patterns, and refactoring techniques while learning how to enhance legacy systems by applying modern software practices. This book provides actionable insights to refine your Python coding expertise.
What this Book will help me do
- Refactor legacy Python codebases to mitigate inefficiencies effectively.
- Master implementing SOLID principles in Python for better module independence.
- Learn the application of decorators and descriptors to simplify Python code.
- Implement microservice architecture by refactoring monolithic applications.
- Improve code quality while ensuring correctness using unit testing techniques.
Author(s)
None Anaya, an experienced software architect and educator, specializes in Python development and system refactorization. With expertise in crafting maintainable and efficient code, None's approach centers on clarifying complex concepts with practical examples. As an advocate for clean coding, None strives to enhance software development practices through accessible knowledge sharing.
Who is it for?
This book is ideal for senior software engineers, architects, and team leads looking to improve their Python skills. If you're working with legacy codebases, this book will guide you in modernizing and optimizing your projects. A solid grounding in programming fundamentals will help you make the most of this resource. Achieve your goal of producing sustainable, high-quality Python code with this guide.
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