Technology Computer science Object-Oriented Programming (OOP) is a programming paradigm that uses "objects" to represent data and methods to manipulate that data. This approach organizes software design around data, or objects, rather than functions and logic. Key concepts in OOP include encapsulation, inheritance, and polymorphism, which promote code reusability, modularity, and the modeling of real-world entities. OOP is widely used in various programming languages, such as Java, C++, Python, and Ruby, making it a foundational concept in technology and computer science for developing complex software systems.
Core Concepts of Object-Oriented Programming (OOP) Objects Definition and characteristics Basic units of program structure Encapsulate data and behaviors Object instances Creating instances from classes Initialization of object states Lifespan of objects Real-world analogies Objects as tangible things Mapping real-world entities to objects Objects and behaviors correlation Classes Class definition and structure Templates or blueprints for creating objects Syntax and components of a class Properties (Attributes/Fields) Types of data stored Visibility and scope Default values and initialization Methods (Functions/Procedures) Defining behaviors and actions Method signatures and parameters Return types and execution flow Class vs Object distinction Blueprint vs instantiated entity Shared vs instance-specific data Encapsulation Definition and importance Bundling data with methods Restricting direct access to some components Access Modifiers Public: accessible from any context Private: accessible only within the same class Protected: accessible within subclass and package Default (Package-private): scope-limited access Getter and Setter methods Controlled access to private attributes Data validation through setters Readability improvements in code Inheritance Definition and purpose Mechanism to derive new classes from existing ones Reusability of code and hierarchy creation Base classes and derived classes Parent and child class relationships Implementing base class properties in derived classes Method overriding Redefining methods in derived classes Dynamic method dispatching at runtime The "is-a" relationship Derived classes as specialized versions of base classes Hierarchical organization of classes Multiple inheritance and issues Diamond problem Ambiguity in inheritance paths Conflicting method definitions Solutions in different languages Interfaces: ensuring method specification without implementation Mixins: including multiple functionalities without class inheritance Polymorphism Concept and types Ability to take on many forms Method invocation based on the object type at runtime Compile-time (Static) polymorphism Binding occurs at compile time Method overloading: same method name with different parameters Runtime (Dynamic) polymorphism Binding occurs at runtime Method overriding: a subclass provides specific implementations Advantages of polymorphism Flexibility in code structure Enhanced system scalability and integration Simplified debugging and maintenance Abstraction Concept of hiding details Exposing only essential features Reducing complexity by abstracting unnecessary implementation Abstract classes Base for other classes to build upon Cannot be instantiated directly May contain abstract (undefined) and concrete methods Interfaces Pure abstraction mechanism without implementation Defines method signatures for implementation by classes Supports polymorphic behaviors across different classes and hierarchies