Comprehensive coverage of object-oriented programming concepts in Python, including classes, inheritance, encapsulation, and design patterns.
Exam Content
Topics covered in this exam
1
Class Fundamentals
Covers defining classes, using the __init__ constructor, understanding the self parameter, and differentiating between class and instance attributes
2
Inheritance and Polymorphism
Includes the syntax for inheritance, how method overriding works, using the super() function to access parent methods, and the concept of polymorphism
3
Encapsulation
Tests knowledge of naming conventions for public, protected (single underscore _), and private (double underscore __) members
4
Magic Methods (Dunder Methods)
Focuses on methods like __str__, __repr__, __add__, __len__, __eq__, and __call__ to enable built-in functionality for objects
5
OOP Decorators
Examines the use of @property (with setters), @classmethod, and @staticmethod
6
Abstract Base Classes (ABCs)
Involves the abc module and the @abstractmethod decorator to create interface-like classes
7
Core OOP Principles
Includes understanding concepts like "composition over inheritance" and SOLID principles such as the Single Responsibility Principle (SRP) and Dependency Inversion Principle (DIP)
8
Design Patterns
Covers the purpose of the Singleton and Factory design patterns
9
Python's Data Model
Tests understanding of the "everything is an object" concept and the relationship between type and object
10
Modules and Error Handling
Includes the role of the __init__.py file in packages and basic try...except blocks for handling errors
