Python Programming - Inheritance

Exercise : Inheritance - General Questions
  • Inheritance - General Questions
41.
What is the purpose of the __setattr__() method in Python classes?
To define class attributes
To create a new instance of the class
To customize the behavior when setting an attribute on an instance
To access superclass attributes directly
Answer: Option
Explanation:
The __setattr__() method is used to customize the behavior when setting an attribute on an instance of a class.

42.
In Python, what is the purpose of the @property decorator for methods?
To create a new instance of the class
To define a method that can be accessed like an attribute
To access class attributes directly
To override a method in the superclass
Answer: Option
Explanation:
The @property decorator is used to define a method that can be accessed like an attribute, allowing it to be called without parentheses.

43.
How does Python support method overloading?
By allowing multiple methods with the same name but different parameters
By using the @overload decorator
By explicitly specifying the data type of method parameters
Method overloading is not supported in Python
Answer: Option
Explanation:
Python does not support method overloading in the traditional sense, as methods with the same name in a class will override each other.

44.
What is the purpose of the __doc__ attribute in Python classes?
To define class attributes
To create a new instance of the class
To provide documentation for the class
To access superclass attributes directly
Answer: Option
Explanation:
The __doc__ attribute is used to provide documentation (docstring) for a class, describing its purpose and usage.

45.
How can you achieve method overloading in Python using default values?
By using the @overload decorator
By explicitly specifying the data type of method parameters
By defining multiple methods with different numbers of parameters and providing default values
Method overloading is not possible in Python
Answer: Option
Explanation:
Method overloading in Python can be achieved by defining multiple methods with different numbers of parameters and providing default values for some parameters.