Class in C++
C++ is an object oriented programming language so it use class to binding data members and member function (function that use in the class) in a single program.
{tocify} $title={Table of Contents}
Definition of class:-
Class is a user define data type and it binding the data and function in
single unit and give more security by access specifires that can be public private and protected
(We discuss in next blog)
When you define a class, you define a blueprint for a data type. This doesn't actually define any data, but it does define what the class name means, that is, what an object of the class will consist of and what operations can be performed on such an object.
To define a class we using the Class keywords to define the class after that we give class name that can
give by you (because class in a user define data type) to start programming in
this class we use open and close curly braces “{}” in this curly braces we
define access specifier to secure the data by third person after that we
declare the member function. In the end of the close braces we use semicolon to
end the class.
#include <iostream.h> #include <conio.h>
Class simple //Class keyword
and class name
{
Public: // access
specifier
Int x;
Void display() //Class function
{
Cin >>”enter the value of
x”>>x;
Cout<<”value of x is”<<x;
}
};
Void main() //main function
{
simple s1; //creating an object (s1)
s1.display() //call a class function by object
}
|
After the end of class we create main
function to create an object to call the member function and data member of
class.
📘 IT Tech Language
☁️ Cloud Computing - What is Cloud Computing – Simple Guide
- History and Evolution of Cloud Computing
- Cloud Computing Service Models (IaaS)
- What is IaaS and Why It’s Important
- Platform as a Service (PaaS) – Cloud Magic
- Software as a Service (SaaS) – Enjoy Software Effortlessly
- Function as a Service (FaaS) – Serverless Explained
- Cloud Deployment Models Explained
🧩 Algorithm - Why We Learn Algorithm – Importance
- The Importance of Algorithms
- Characteristics of a Good Algorithm
- Algorithm Design Techniques – Brute Force
- Dynamic Programming – History & Key Ideas
- Understanding Dynamic Programming
- Optimal Substructure Explained
- Overlapping Subproblems in DP
- Dynamic Programming Tools
🤖 Artificial Intelligence (AI) - Artificial intelligence and its type
- Policy, Ethics and AI Governance
- How ChatGPT Actually Works
- Introduction to NLP and Its Importance
- Text Cleaning and Preprocessing
- Tokenization, Stemming & Lemmatization
- Understanding TF-IDF and Word2Vec
- Sentiment Analysis with NLTK
📊 Data Analyst - Why is Data Analysis Important?
- 7 Steps in Data Analysis
- Why Is Data Analysis Important?
- How Companies Can Use Customer Data and Analytics to Improve Market Segmentation
- Does Data Analytics Require Programming?
- Tools and Software for Data Analysis
- What Is the Process of Collecting Import Data?
- Data Exploration
- Drawing Insights from Data Analysis
- Applications of Data Analysis
- Types of Data Analysis
- Data Collection Methods
- Data Cleaning & Preprocessing
- Data Visualization Techniques
- Overview of Data Science Tools
- Regression Analysis Explained
- The Role of a Data Analyst
- Time Series Analysis
- Descriptive Analysis
- Diagnostic Analysis
- Predictive Analysis
- Pescriptive Analysis
- Structured Data in Data Analysis
- Semi-Structured Data & Data Types
- Can Nextool Assist with Data Analysis and Reporting?
- What Kind of Questions Are Asked in a Data Analyst Interview?
- Why Do We Use Tools Like Power BI and Tableau for Data Analysis?
- The Power of Data Analysis in Decision Making: Real-World Insights and Strategic Impact for Businesses
📊 Data Science - The History and Evolution of Data Science
- The Importance of Data in Science
- Why Need Data Science?
- Scope of Data Science
- How to Present Yourself as a Data Scientist?
- Why Do We Use Tools Like Power BI and Tableau
- Data Exploration: A Simple Guide to Understanding Your Data
- What Is the Process of Collecting Import Data?
- Understanding Data Types
- Overview of Data Science Tools and Techniques
- Statistical Concepts in Data Science
- Descriptive Statistics in Data Science
- Data Visualization Techniques in Data Science
- Data Cleaning and Preprocessing in Data Science
🧠 Machine Learning (ML) - How Machine Learning Powers Everyday Life
- Introduction to TensorFlow
- Introduction to NLP
- Text Cleaning and Preprocessing
- Sentiment Analysis with NLTK
- Understanding TF-IDF and Word2Vec
- Tokenization and Lemmatization
🗄️ SQL
💠 C++ Programming - Introduction of C++
- Brief History of C++ || History of C++
- Characteristics of C++
- Features of C++ || Why we use C++ || Concept of C++
- Interesting Facts About C++ || Top 10 Interesting Facts About C++
- Difference Between OOP and POP || Difference Between C and C++
- C++ Program Structure
- Tokens in C++
- Keywords in C++
- Constants in C++
- Basic Data Types and Variables in C++
- Modifiers in C++
- Comments in C++
- Input Output Operator in C++ || How to take user input in C++
- Taking User Input in C++ || User input in C++
- First Program in C++ || How to write Hello World in C++ || Writing First Program in C++
- How to Add Two Numbers in C++
- What are Control Structures in C++ || Understanding Control Structures in C++
- What are Functions and Recursion in C++ || How to Define and Call Functions
- Function Parameters and Return Types in C++ || Function Parameters || Function Return Types
- Function Overloading in C++ || What is Function Overloading
- Concept of OOP || What is OOP || Object-Oriented Programming Language
- Class in C++ || What is Class || What is Object || How to use Class and Object
- Object in C++ || How to Define Object in C++
- Polymorphism in C++ || What is Polymorphism || Types of Polymorphism
- Compile Time Polymorphism in C++
- Operator Overloading in C++ || What is Operator Overloading
- Python vs C++ || Difference Between Python and C++ || C++ vs Python
🐍 Python - Why Python is Best for Data
- Dynamic Programming in Python
- Difference Between Python and C
- Mojo vs Python – Key Differences
- Sentiment Analysis in Python
🌐 Web Development
🚀 Tech to Know & Technology
- The History and Evolution of Data Science
- The Importance of Data in Science
- Why Need Data Science?
- Scope of Data Science
- How to Present Yourself as a Data Scientist?
- Why Do We Use Tools Like Power BI and Tableau
- Data Exploration: A Simple Guide to Understanding Your Data
- What Is the Process of Collecting Import Data?
- Understanding Data Types
- Overview of Data Science Tools and Techniques
- Statistical Concepts in Data Science
- Descriptive Statistics in Data Science
- Data Visualization Techniques in Data Science
- Data Cleaning and Preprocessing in Data Science
Tags
C plus plus