Python 3 Deep Dive Part 4 Oop High Quality //top\\ ✰

: Includes multiple hands-on projects, such as building a bank account system and an inventory management model. : Provides fully annotated Jupyter Notebooks , lecture slides, and a comprehensive GitHub repository for all code examples. Prerequisites

: Covers low-level implementation details, such as how the interpreter handles classes, instances, namespaces, and descriptors.

Advanced OOP code balances abstraction with execution speed. Benchmarking Implementations

Use functools.cached_property to cache expensive calculations on immutable properties. python 3 deep dive part 4 oop high quality

: Requires a strong background in functional Python, including closures, decorators, and the iteration protocol. Python 3: Deep Dive (Part 4 - OOP) - Udemy

"If it walks like a duck and quacks like a duck, it's a duck."

In Python, classes are objects too. Just as instances are created by classes, classes are created by metaclasses. The default metaclass is type . : Includes multiple hands-on projects, such as building

If you implement __repr__ but not __str__ , Python falls back to __repr__ . Always implement __repr__ first.

Create custom exception classes by inheriting from Python's built-in Exception class. The exception hierarchy should mirror your application's domain: a DatabaseError might have subclasses ConnectionError , QueryError , and IntegrityError . Each exception class can carry additional attributes (such as error codes or original exceptions) to provide diagnostic context.

Using @property decorators, read-only, and computed properties. Advanced OOP code balances abstraction with execution speed

Exception handling is not an afterthought in high-quality OOP—it is an integral part of class design. Well-designed exception hierarchies allow calling code to handle specific error conditions selectively, falling back to more general handlers when needed.

: Deep dives into slots (for memory efficiency), the descriptor protocol , and metaprogramming (including metaclasses).

class SingletonMeta(type): _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: cls._instances[cls] = super().__call__(*args, **kwargs) return cls._instances[cls] class DatabaseConnection(metaclass=SingletonMeta): def __init__(self): self.connected = True Use code with caution. Factory Pattern Using Class Methods

Everything is accessible.

: Covering single inheritance and the role special "dunder" functions play in creating polymorphic behavior.