OOP: Encapsulation in python
Let's consider one of the 3 pillars of OOP - encapsulation, see what it is and what is better not to expect.
Encapsulation implies collecting data and methods for working with them in one place (class), as well as providing a public interface (API) for working with them.
In Python, the underscore _ is used to mark the internal implementation, that is, attributes that are not related to the public interface.
One underscore (protected) is just a signal, the interpreter treats such attributes as ordinary ones.
Two underscores (private) - includes the Name Mangling mechanism, which is not intended to hide data.
Encapsulation in Python does not imply hiding data (in some languages, this is the same thing) - all data is available for viewing and changing. In Python, we do not try to take away tools from the user, we warn.
👣OOP First Steps • Первые шаги в ООП: класс, объект, self
🐣OOP: Inheritance • ООП: Наследование (Inheritance)
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