✅ Introduction to Programming Languages (Python, Java, C++)

Programming languages are essential tools for software development, automation, and problem-solving.

📌 Overview of Popular Programming Languages:

🔹 Python 🐍

• High-level, easy-to-read syntax.

• Used in web development, AI, data science, and automation.

• Example:

  python

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  print("Hello, World!")


🔹 Java ☕

• Object-oriented and widely used for enterprise applications.

• Platform-independent (runs on any OS with a Java Virtual Machine).

• Example:

  java

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  public class Main {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}


🔹 C++ ⚡

• Powerful and efficient for system programming, game development, and embedded systems.

• Supports both procedural and object-oriented programming.

• Example:

  cpp

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  #include <iostream>
using namespace std;
int main() {
cout << "Hello, World!";
return 0;
}


Each language has its strengths, making them ideal for different applications! 🚀

✅ Understanding Programming Logic and Algorithms

Programming logic is the foundation of writing effective and efficient code.

🔹 Key Concepts in Programming Logic:
✔️ Variables & Data Types: Storing and handling data (e.g., integers, strings, booleans).
✔️ Control Structures: Using loops (for, while) and conditions (if-else) to direct execution.
✔️ Functions & Modular Code: Reusable code blocks for better organization.

🔹 What Are Algorithms?
An algorithm is a step-by-step process to solve a problem.

✔️ Example Algorithm (Finding the Largest Number in a List):
1️⃣ Start with a list of numbers.
2️⃣ Assume the first number is the largest.
3️⃣ Compare each number in the list with the current largest.
4️⃣ Update the largest number when a bigger one is found.
5️⃣ Return the largest number.

🔹 Example (Python Code for Finding Max in a List):

Understanding programming logic and algorithms is key to writing efficient code! 🧠✨

✅ Introduction to Databases and SQL

A database is a structured way to store and manage data efficiently.

🔹 Types of Databases:
✔️ Relational Databases (SQL-based): Use structured tables (e.g., MySQL, PostgreSQL).
✔️ NoSQL Databases: Store unstructured or semi-structured data (e.g., MongoDB).

🔹 SQL (Structured Query Language):
Used to interact with relational databases.

✔️ Common SQL Commands:

• Create a Table:

  sql

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  CREATE TABLE students (
id INT PRIMARY KEY,
name VARCHAR(50),
age INT
);


• Insert Data:

  sql

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  INSERT INTO students (id, name, age) VALUES (1, 'Alice', 20);


• Retrieve Data:

  sql

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  SELECT * FROM students WHERE age > 18;


• Update Data:

  sql

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  UPDATE students SET age = 21 WHERE name = 'Alice';


• Delete Data:

  sql

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  DELETE FROM students WHERE id = 1;


SQL helps organize and query data efficiently, making it essential for database management! 💾🔍