Python 3 Deep Dive Part 4 Oop [exclusive]
class Rectangle: def __init__(self, width, height): self.width = width self.height = height
Attribute lookup is faster because it's not a hash map lookup.
Python 3 Deep Dive Part 4 transforms a developer from a coder into an architect. By mastering descriptors, properties, and metaclasses, you move beyond the "how" of Python and begin to understand the "why." This depth of knowledge allows for the creation of frameworks and libraries that are not only functional but inherently Pythonic. demonstrating a specific concept like descriptors metaclasses to include with this essay?
In Python, true polymorphism is achieved through the and special, or "dunder" (double-underscore), methods. Instead of inheriting from a common "interface" class, you can define methods like __len__ , __getitem__ , or __add__ to allow your objects to seamlessly integrate with Python's built-in operations and standard library.
class User: def greet(self): return "Hello" # Access through class print(User.greet) # Output: # Access through instance u = User() print(u.greet) # Output: > Use code with caution.
For applications creating millions of objects, this dictionary overhead can be substantial. Optimized Storage: __slots__
Descriptors are the secret sauce behind property , classmethod , and staticmethod . A descriptor is an object attribute with "binding behavior," one whose attribute access is overridden by methods in the descriptor protocol: __get__ , __set__ , and __delete__ .
Right action (called via super() inside Left because Right follows Left in Child's MRO!) Base action 4. Optimizing Memory and Performance with __slots__
Python 3 Deep Dive: Mastering Object-Oriented Programming (OOP)
Allows an instance to yield an integer hash, making it usable in sets and dictionaries. __slots__
class Rectangle: def __init__(self, width, height): self.width = width self.height = height
Attribute lookup is faster because it's not a hash map lookup.
Python 3 Deep Dive Part 4 transforms a developer from a coder into an architect. By mastering descriptors, properties, and metaclasses, you move beyond the "how" of Python and begin to understand the "why." This depth of knowledge allows for the creation of frameworks and libraries that are not only functional but inherently Pythonic. demonstrating a specific concept like descriptors metaclasses to include with this essay?
In Python, true polymorphism is achieved through the and special, or "dunder" (double-underscore), methods. Instead of inheriting from a common "interface" class, you can define methods like __len__ , __getitem__ , or __add__ to allow your objects to seamlessly integrate with Python's built-in operations and standard library.
class User: def greet(self): return "Hello" # Access through class print(User.greet) # Output: # Access through instance u = User() print(u.greet) # Output: > Use code with caution.
For applications creating millions of objects, this dictionary overhead can be substantial. Optimized Storage: __slots__
Descriptors are the secret sauce behind property , classmethod , and staticmethod . A descriptor is an object attribute with "binding behavior," one whose attribute access is overridden by methods in the descriptor protocol: __get__ , __set__ , and __delete__ .
Right action (called via super() inside Left because Right follows Left in Child's MRO!) Base action 4. Optimizing Memory and Performance with __slots__
Python 3 Deep Dive: Mastering Object-Oriented Programming (OOP)
Allows an instance to yield an integer hash, making it usable in sets and dictionaries. __slots__
