OOP and design patterns

The init method initializes a new instance of a class, setting up the initial state by assigning values to instance attributes. It's automatically called...

Trees and Hierarchical State Machines In this slideshow, we'll explore two powerful techniques for modeling and implementing complex behaviors in Python...

Class-based decorators represent an advanced implementation pattern in Python that allows classes to modify or enhance the behavior of functions or methods....

Object-Oriented Programming is a programming paradigm that organizes code into objects, which are instances of classes. OOP focuses on the concept of objects...

Class parameterization during inheritance is a powerful feature introduced in Python 3.6 through init\subclass. This method allows parent classes to...

Data Classes and Named Tuples are two powerful tools in Python for organizing and structuring data. While they serve similar purposes, they have distinct...

Local decorators in Python allow us to create function wrappers within a specific scope, typically inside a class. This provides better encapsulation and...

Class decorators are a powerful feature in Python that allow you to modify or enhance the behavior of classes. They are similar to function decorators but...

The Dependency Inversion Principle (DIP) is one of the core principles of the SOLID principles in object-oriented programming. It states that high-level...

Dunder methods, short for "double underscore" methods, are special methods in Python that allow you to define how objects of a class behave in various...

The Factory Method Pattern is a creational design pattern that provides an interface for creating objects but allows subclasses to alter the type of objects...

Introduction to Finite State Machines (FSMs) A Finite State Machine (FSM) is a computational model used to design systems that can be in one of a finite...

Magic methods, also known as dunder methods (double underscore), form the foundation of Python's data model, enabling operator overloading and customization...

Inheritance and polymorphism are fundamental concepts in object-oriented programming (OOP) that enhance code reusability, flexibility, and maintainability....

Data Classes are a powerful feature introduced in Python 3.7 that simplifies the creation of classes primarily used for storing data. They automatically...

Decorators are special functions that modify the behavior of other functions without directly changing their source code. They follow the wrapper pattern...

Descriptors represent a powerful protocol in Python that defines how attribute access is intercepted through special methods. They enable fine-grained...

Monkey patching is a dynamic technique to modify or extend the behavior of a program at runtime. In Python, it allows you to change or add attributes and...

The Observer pattern enables a subscription mechanism where multiple objects (observers) monitor changes in another object (subject). This fundamental design...

Function decorators are a powerful feature in Python that allow you to modify or enhance the behavior of functions without changing their source code. They...

A decorator is a design pattern in Python that allows modifying the behavior of functions or classes without directly changing their source code. Decorators...

Class attributes in Python belong to the class itself, shared across all instances, providing memory efficiency and serving as a powerful tool for...

The descriptor protocol is a fundamental mechanism in Python's object model that enables fine-grained control over attribute access, modification, and...

The Single Responsibility Principle states that a class should have only one reason to change, meaning it should have a single, well-defined responsibility...

The Strategy Pattern is a behavioral design pattern that enables selecting an algorithm's implementation at runtime. It defines a family of algorithms...

The Singleton pattern ensures a class has only one instance and provides a global point of access to it. This pattern is useful when exactly one object is...

A namedtuple is a factory function in Python's collections module that creates tuple subclasses with named fields. It combines the efficiency of tuples with...

Abstract Base Classes (ABCs) provide a way to define interfaces in Python, enforcing a contract that derived classes must fulfill. They act as a blueprint...

Encapsulation is a fundamental concept in object-oriented programming that bundles data and the methods that operate on that data within a single unit or...