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object_oriented_programming

SUMMARY

OOP organizes software design around "objects," which are instances of classes that encapsulate data (attributes) and behavior (methods)

Key Principles​

Encapsulation​

Bundling data and methods that operate on that data within a single unit (class)

Access to data is controlled through methods, ensuring data integrity.

Inheritance​

Creating new classes (child classes) from existing ones (parent classes) to reuse and extend functionality

Promotes code reuse and hierarchical organization.

Polymorphism​

Allowing objects of different classes to be treated as objects of a common superclass

Enables flexibility and dynamic behavior (e.g., method overriding).

Abstraction​

Simplifying complex systems by modeling classes appropriate to the problem domain, hiding unnecessary details

Use Cases​

  • Large-scale applications with complex relationships (e.g., enterprise software, game development).
  • Systems requiring modularity, reusability, and maintainability.
  • Examples: Java, C++, Python, Ruby.

References

  • Deepseek