Defining Private Attributes
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Private attributes represent the strongest level of data protection in Python's encapsulation model. By using double underscores, they activate Python's name mangling mechanism, transforming sensitive attributes into nearly inaccessible identifiers. This provides robust protection against accidental interference and helps create secure, professional class designs.
example.py
Although private attributes can technically be accessed through their mangled names, doing so violates encapsulation and should never be used in production code.
A private attribute like __balance in BankAccount is automatically renamed to _BankAccount__balance through name mangling. This makes it harder to access directly and discourages external use.
Private attributes secure sensitive state and ensure interaction only through validated public methods. In classes like Wallet or BankAccount, data such as balance, PIN, and transaction history stay private, while methods like deposit(), withdraw(), and authenticate() enforce rules and maintain security.
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