Python - Object Oriented: Access Modifiers

In this educational YouTube video, we will explore the basics of using underscores as access modifiers in custom classes in #Python, without utilizing decorators. By the end of this video, you will have a clear understanding of how underscores can be employed to control the visibility and accessibility of class attributes and methods. The video begins with a brief explanation of access modifiers and their significance in object-oriented programming. You will learn why encapsulation is crucial for writing robust and maintainable code, and how access modifiers help in achieving this. Moving on, the video focuses on the different types of underscores commonly used in Python: single underscore (_) and double underscore (__). You will understand the conventions associated with these underscores and how they affect the visibility of class members. Through practical examples and demonstrations, you will learn how to use a single underscore to indicate that an attribute or method is intended for internal use within a class or module. This concept helps in differentiating between public and private members, guiding developers on how to interact with class internals. Furthermore, the video explores the double underscore, also known as name mangling. You will discover how this mechanism is employed to achieve name hiding and prevent naming conflicts when subclassing. By implementing name mangling, you can create attributes that are only accessible within the class itself. By the end of the video, you will have a solid understanding of the conventions surrounding the use of underscores as access modifiers in Python classes. You will be able to utilize underscores effectively to enforce encapsulation and control the visibility of your class members. So, get ready to dive into the basics of using underscores as access modifiers in your custom classes and enhance your understanding of encapsulation in Python. Happy learning!

Видео Python - Object Oriented: Access Modifiers автора Профессиональное обучение Python