Python Refactoring Exercise: Converting Getters and Setters to Properties โ€” WalkSelf
โฑ 2h 48m ๐Ÿ“š 28 lessons ๐ŸŽง Audio version

Python Refactoring Exercise: Converting Getters and Setters to Properties

Learn how to write cleaner, more Pythonic code by refactoring a Tag class to use properties instead of traditional getter and setter methods.

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About this course

Writing Java-style getter and setter methods in Python often leads to cluttered, un-Pythonic code. Understanding how and when to refactor these methods into clean, managed properties is a crucial milestone for any Python developer. This practical, text-based course guides you through a hands-on refactoring exercise. You will take a standard Tag class that relies on verbose getter and setter methods and transform it using Python's built-in property decorators, making your codebase cleaner, safer, and easier to maintain. What you'll learn: 1. Understand the fundamental differences between traditional getter/setter methods and Pythonic properties. 2. Identify code smells that signal it is time to refactor your class attributes. 3. Implement the @property decorator and its corresponding setter and deleter methods. 4. Refactor a practical Tag class step-by-step using clear, modern Python code snippets. 5. Apply modern Python type hints to properties to ensure static type safety. 6. Maintain backwards compatibility for external API consumers during refactoring. The course begins with the core concepts of encapsulation and properties in Python. You will then dive into a step-by-step written refactoring exercise, analyzing a legacy-style class and rewriting it to follow modern Pythonic best practices. This course is designed for beginner to intermediate Python programmers who understand basic object-oriented programming and want to write cleaner, more idiomatic code. No prior refactoring experience is required. Start reading today to master Pythonic property design and elevate your code quality.

What you'll get

  • ๐Ÿ“œ Certificate of completion
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  • ๐Ÿ’ฌ Personal AI tutor
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  • ๐ŸŽง Audio version included
    Learn on the go โ€” no screen needed
  • โ™พ๏ธ Lifetime access
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  • ๐Ÿ“ฑ Phone or computer
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  • ๐Ÿ’ธ 14-day refund
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  • โšก Short & focused
    2h 48m of practical content

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We donโ€™t store card details โ€” Stripe handles them securely.

Can I get a refund? +

Yes โ€” full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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