Python 3 Deep Dive Part 4 - Oop Patched

In this write-up, we will explore the world of Object-Oriented Programming (OOP) in Python 3. OOP is a programming paradigm that revolves around the concept of objects and classes. We will dive into the fundamental principles of OOP, including classes, objects, inheritance, polymorphism, and encapsulation.

Polymorphism is the ability of an object to take on multiple forms. This can be achieved through method overriding or method overloading.

Mastering Object-Oriented Programming in Python 3 Object-Oriented Programming (OOP) in Python is not just about syntax; it is about understanding how the language manages memory, attributes, and types under the hood. While many languages treat classes as blueprint definitions, Python treats classes as live, dynamic objects.

If a class defines the blueprint for an object, what defines the blueprint for a class? The answer is a . In Python, type is the default metaclass responsible for constructing classes. python 3 deep dive part 4 oop

class EnforceCapsMeta(type): def __new__(mcs, name, bases, class_dict): # Modify class attributes before creation upper_dict = {} for key, val in class_dict.items(): if not key.startswith('__'): upper_dict[key.upper()] = val else: upper_dict[key] = val return super().__new__(mcs, name, bases, upper_dict) class Content(metaclass=EnforceCapsMeta): title = "Advanced Python" # Verification obj = Content() print(hasattr(obj, 'title')) # Output: False print(hasattr(obj, 'TITLE')) # Output: True Use code with caution.

In Python, a is a blueprint or a template that defines the characteristics and behavior of an object. A class is essentially a design pattern or a template that defines the properties and methods of an object.

: Exploring how inheritance works, overriding and extending methods, and delegating to parent classes using Descriptors : An in-depth look at the descriptor protocol ( __delete__ ) and its relationship to properties. Metaprogramming : High-level concepts including metaclasses , class decorators, and the Advanced Features : Coverage of for memory optimization and the use of enumerations Course Structure & Materials Python 3: Deep Dive (Part 4 - OOP) - Udemy In this write-up, we will explore the world

print(D.mro()) # Output: [D, B, C, A, object]

def new_init(self, *args, **kwargs): print(f"Instance of cls.__name__ created") original_init(self, *args, **kwargs)

class MetaSingleton(type): _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: cls._instances[cls] = super().__call__(*args, **kwargs) return cls._instances[cls] Polymorphism is the ability of an object to

@property def temp(self): print("Getting value") return self._temp

In Python, everything is an object. While beginners often view OOP as a way to group data and functions, Python 3 Deep Dive Part 4 elevates this to a study of metaprogramming

def return_book(self): self._checked_out = False