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Questions and Answers
What is the main purpose of object-oriented Programming (OOPs)?
What is the main purpose of object-oriented Programming (OOPs)?
- To make data and functions work as separate units
- To eliminate the use of classes and objects in programming
- To implement real-world entities like inheritance and encapsulation (correct)
- To make programming more complex and difficult to understand
What is a class in Python?
What is a class in Python?
- A function that works on data
- A collection of objects containing attributes and methods (correct)
- A way to access data from any part of the code
- A prototype for creating objects
Why is it necessary to create a class in Python?
Why is it necessary to create a class in Python?
- To provide organization and structure to data and its properties (correct)
- To eliminate the need for objects
- To complicate the programming process
- To limit access to data and functions
What is an object in Python?
What is an object in Python?
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What does OOPs aim to bind together as a single unit?
What does OOPs aim to bind together as a single unit?
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Study Notes
Object-Oriented Programming (OOPs)
- The main purpose of OOPs is to organize and structure code in a way that it resembles real-world objects and systems.
Classes in Python
- A class in Python is a blueprint or a template that defines the characteristics and behaviors of an object.
- A class is essentially a design pattern that defines the properties and methods of an object.
Necessity of Creating a Class in Python
- Creating a class in Python is necessary to define a custom data type that can be reused throughout the program.
- It helps to organize code in a modular and reusable way, making it easier to maintain and update.
Objects in Python
- An object in Python is an instance of a class, which represents a real-world entity or concept.
- Objects have their own set of attributes (data) and methods (functions) that describe and define their behavior.
OOPs Principles
- OOPs aims to bind together data and its associated methods that operate on that data as a single unit, making it easier to manage complexity.
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