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Why is Python an object-oriented language?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Python is considered an object-oriented language because it supports the principles of object-oriented programming (OOP). This means: 1. **Classes and Objects**: Python allows you to define classes, which are blueprints for creating objects (instances). Each object can have attributes (data) and methods...
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Python is considered an object-oriented language because it supports the principles of object-oriented programming (OOP). This means:

1. **Classes and Objects**: Python allows you to define classes, which are blueprints for creating objects (instances). Each object can have attributes (data) and methods (functions).

2. **Encapsulation**: Data and methods are bundled together into classes. This helps in hiding the internal state of objects and only exposing necessary parts.

3. **Inheritance**: Python classes can inherit attributes and methods from other classes, allowing for code reuse and the creation of a class hierarchy.

4. **Polymorphism**: Python allows methods to do different things based on the object’s class, even if they share the same name.

These features help in organizing code and making it more modular and reusable.

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German Trainer with 1 plus years experience

As an object-oriented programming language, Python supports polymorphism, which means multiple forms. In other words, the same entity (method/operator/object) can perform different functions in different scenarios.Python supports polymorphism via multiple inheritance.
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My teaching experience 12 years

Python is considered an object-oriented language because it supports the key principles of object-oriented programming (OOP), which are: 1. *Encapsulation*: Python allows bundling of data and methods that operate on that data within a single unit, called a class or object. 2. *Abstraction*: Python...
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Python is considered an object-oriented language because it supports the key principles of object-oriented programming (OOP), which are: 1. *Encapsulation*: Python allows bundling of data and methods that operate on that data within a single unit, called a class or object. 2. *Abstraction*: Python enables the representation of complex real-world objects in a simplified way, exposing only essential features. 3. *Inheritance*: Python supports creating new classes based on existing ones, inheriting their attributes and methods. 4. *Polymorphism*: Python allows objects of different classes to be treated as objects of a common superclass, enabling flexible and generic code. 5. *Composition*: Python enables objects to contain other objects or collections of objects, representing complex relationships. Python implements OOP concepts through: - Classes and objects - Constructors (`__init__`) - Attributes (data) and methods (functions) - Inheritance (`class Child(Parent)`) - Polymorphism (method overriding, duck typing) - Encapsulation (access control through `public`, `private`, and `protected` attributes) By supporting these OOP principles, Python facilitates: - Modularity - Reusability - Easier maintenance - More intuitive coding Overall, Python's object-oriented nature makes it a powerful and versatile language for a wide range of applications. read less
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As an object-oriented programming language, Python supports polymorphism, which means multiple forms. In other words, the same entity (method/operator/object) can perform different functions in different scenarios. Python supports polymorphism via multiple inheritance.
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Python Institute offers certifications like PCEP, PCAP, and PCPP for Python, validating different proficiency levels. Django certifications are available through platforms like Django Stars and CertiProf, focusing on Django development skills.
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allows you to create objects—data structures that contain both data and functions. In object-oriented programming (OOP), you can group data and actions in a way that makes it easier to organize and manage complex code, like building blueprints (classes) for object so it's an oops
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