January 2021
Intermediate to advanced
422 pages
10h 39m
English
Overview
Clean Code in Python is a comprehensive guide that teaches you how to write clean, maintainable, and efficient Python code. This book covers a broad array of coding concepts, including Python 3.9 features, object-oriented design, testing practices, and architecture refactoring. By following the techniques and principles outlined, you will significantly enhance your programming skills and craft professional-grade software.
What this Book will help me do
- Gain proficiency in setting up productive environments using automated tools.
- Master the use of Python's magic methods to create clean and reusable code.
- Apply design patterns to optimize code readability, maintainability, and scalability.
- Understand and employ effective unit testing techniques to ensure code quality.
- Refactor complex and legacy codebases into more modular and sustainable architectures.
Author(s)
None Anaya is a seasoned programmer with extensive experience in Python and software development best practices. Known for their clear and engaging teaching style, None has a passion for empowering developers to improve their skills through clean code and meaningful design. They bring their hands-on experience and practical insights to every concept, making complex topics accessible and relatable.
Who is it for?
Clean Code in Python is ideal for software developers, team leads, and software architects seeking to enhance their coding skills. Whether you are an intermediate programmer aiming to adopt best practices or an experienced developer looking to deepen your expertise, this book offers valuable insights. If you are ready to write Pythonic, maintainable, and professional-grade code, this guide is crafted for you.
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