Скачать или смотреть Create Read Only Attribute with property Decorator in Python

Want to learn how to create read-only attributes in Python using the @property decorator? This tutorial gives a step-by-step code example showing how to use Python’s built-in property mechanism to protect class attributes from modification while still allowing access. Whether you’re a beginner learning object-oriented programming (OOP) in Python, preparing for coding interviews, or building real-world projects, this video will help you master one of Python’s most practical and professional coding practices.

Read-only attributes are widely used when you need data encapsulation—allowing controlled access to class variables without giving permission to change them. Using @property, you can define a getter-only property that acts like a public attribute but remains protected. In this video, you will:

Learn what the @property decorator does and how it works in Python classes.

Understand how to implement getter methods without setters to make attributes immutable.

See a complete code example where an object attribute (e.g., ID or creation date) can be read but not modified.

Explore real-world applications such as defining constant configuration values, computed attributes, and immutable properties in APIs.

Learn how to add validation and computed logic within the property method for dynamic read-only values.

Compare traditional getter/setter approaches vs. Pythonic properties for clean, readable code.

Discover common pitfalls (like AttributeError) and debugging tips for property-based attributes.

Why this tutorial is important:

Read-only attributes are key to writing robust, secure, and professional Python classes.

Mastering @property improves code readability and maintainability, which is crucial for large projects.

This pattern is commonly used in frameworks, APIs, machine learning models, and interview questions.

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