Python-Encapsulation.pptx
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Encapsulation involves bundling data members and functions inside a class to help with data hiding and ensure objects work independently. It wraps both data and methods into a single unit so end-users only need to provide inputs and receive outputs. Encapsulation provides well-defined, readable code; prevents accidental modification; and provides security. Python supports public, private, and protected access modifiers to restrict access to variables and functions within and outside classes.
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Introduction to FLUID MECHANICS & KINEMATICS
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It can be divided into fluid statics, the study of various fluids at rest, and fluid dynamics.
Fluid statics, also known as hydrostatics, is the study of fluids at rest, specifically when there's no relative motion between fluid particles. It focuses on the conditions under which fluids are in stable equilibrium and doesn't involve fluid motion.
Fluid kinematics is the branch of fluid mechanics that focuses on describing and analyzing the motion of fluids, such as liquids and gases, without considering the forces that cause the motion. It deals with the geometrical and temporal aspects of fluid flow, including velocity and acceleration. Fluid dynamics, on the other hand, considers the forces acting on the fluid.
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Python-Encapsulation.pptx
- 2. Basics about Encapsulation? Encapsulation is one of the critical features of object-oriented programming, which involves the bundling of data members and functions inside a single class. Bundling similar data members and functions inside a class also helps in data hiding. Encapsulation also ensures that objects are self-sufficient functioning pieces and can work independently.
- 3. What is Encapsulation? Encapsulation is one of the cornerstone concepts of OOP. The basic idea of Encapsulation is to wrap up both data and methods into one single unit. The way that data and methods are organized does not matter to the end-user. The user is only concerned about the right way to provide input and expects a correct output on the basis of the inputs provided.
- 4. Why do we need encapsulation in python? 1. Encapsulation provides well-defined, readable code 2. Prevents Accidental Modification or Deletion 3. Encapsulation provides security
- 5. Access Modifier in Python Encapsulation Sometimes there might be a need to restrict or limit access to certain variables or functions while programming. There we need an Access Modifier. 1. Public Member 2. Private Member 3. Protected Member
- 7. Encapsulation in Python using Public Members the public modifier allows variables and functions to be accessible from anywhere within the class and from any part of the program. All member variables have the access modifier as public by default.
- 8. Encapsulation in Python using Private Members The private access modifier allows member methods and variables to be accessed only within the class. To specify a private access modifier for a member, we make use of the double underscore __.
- 9. Encapsulation in Python Using Protected Members What sets protected members apart from private members is that they allow the members to be accessed within the class and allow them to be accessed by the sub-classes involved. In Python, we demonstrate a protected member by prefixing with an underscore _ before its name.