Describe the fundamental differences between procedural and object-oriented programming

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Procedural programming is based on the concept of procedures or functions, where a program is divided into smaller modules or functions that can be called sequentially to perform a task. These functions operate on data that is passed to them as parameters, and modify that data accordingly. Procedural programming focuses on breaking down a problem into smaller, more manageable parts that can be solved independently.

On the other hand, object-oriented programming (OOP) is based on the concept of objects, which are data structures that encapsulate both data and behavior. In OOP, a program is built around objects that interact with each other by sending messages and invoking methods. Each object has its own state (data) and behavior (methods), and these objects can communicate with each other through messaging.

Some of the key differences between procedural and object-oriented programming include:
1. Data and behavior: In procedural programming, data and behavior are separate entities, with functions operating on data to perform specific tasks. In OOP, data and behavior are encapsulated within objects, promoting a more modular and organized approach to programming.
2. Inheritance and polymorphism: OOP enables the concepts of inheritance and polymorphism, allowing objects to inherit properties and behaviors from parent classes, and to exhibit different behaviors based on their types. Procedural programming does not inherently support these concepts.
3. Encapsulation: OOP provides the ability to encapsulate data and behavior within objects, ensuring that data is not accessed directly and allowing for better data security. Procedural programming does not have built-in mechanisms for data encapsulation.
4. Reusability: OOP promotes code reusability through the use of classes and objects, enabling developers to create new classes that inherit properties and behaviors from existing classes. Procedural programming does not offer the same level of code reusability.
5. Modularity: OOP encourages modular programming by dividing a program into smaller, self-contained objects that can be easily maintained and reused. Procedural programming also supports modularity, but OOP provides a more structured approach to modular programming.
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