Python 3 Deep Dive Part 4: Object-Oriented Programming (OOP)

Welcome to the fourth installment of our Python 3 Deep Dive series, where we explore the depths of the Python programming language. In this article, we'll dive into the world of Object-Oriented Programming (OOP) in Python 3. OOP is a fundamental concept in programming that allows you to create reusable code, model real-world objects, and write more maintainable and efficient software.

8.3 Forgetting to Call super().__init__()

In multiple inheritance, failing to call super().__init__() can break the MRO chain and leave attributes uninitialized.

Changes in dict in Python 3.7+ broke some subclasses relying on internal calls.

10. Best Practices & Anti-Patterns

✅ Do:

• Favor composition over deep inheritance.
• Use @property for computed attributes.
• Implement protocols for custom containers.
• Use super() consistently in multiple inheritance.
• Use ABCs for clear interfaces.
• Use __slots__ for many small objects.

Python supports multiple inheritance, which introduces the "Diamond Problem." To solve this, Python uses the C3 Linearization algorithm to determine the Method Resolution Order (MRO).

Python 3 Deep Dive Part 4 Oop -

Python 3 Deep Dive Part 4: Object-Oriented Programming (OOP)

Welcome to the fourth installment of our Python 3 Deep Dive series, where we explore the depths of the Python programming language. In this article, we'll dive into the world of Object-Oriented Programming (OOP) in Python 3. OOP is a fundamental concept in programming that allows you to create reusable code, model real-world objects, and write more maintainable and efficient software.

8.3 Forgetting to Call super().__init__()

In multiple inheritance, failing to call super().__init__() can break the MRO chain and leave attributes uninitialized.

Changes in dict in Python 3.7+ broke some subclasses relying on internal calls.

10. Best Practices & Anti-Patterns

✅ Do:

• Favor composition over deep inheritance.
• Use @property for computed attributes.
• Implement protocols for custom containers.
• Use super() consistently in multiple inheritance.
• Use ABCs for clear interfaces.
• Use __slots__ for many small objects.

Python supports multiple inheritance, which introduces the "Diamond Problem." To solve this, Python uses the C3 Linearization algorithm to determine the Method Resolution Order (MRO).