Python Programs Collection

This repository contains a collection of basic Python programs organized into two main categories: Operators demonstrations and General Programs. Each program is designed to illustrate specific programming concepts and serve as learning examples.

Operators

Directory containing programs demonstrating various Python operators:

• Assignment Operators - Examples of different assignment operators in Python
• Bitwise Operator - Demonstration of bitwise operations in Python
• Identity Operators - Examples of identity operators (is, is not)
• Logical Operators - Implementation of logical operators (and, or, not)
• Membership Operators - Usage of membership operators (in, not in)
• Relational Operators - Examples of comparison operators

Programs

Collection of general purpose Python programs:

• Armstrong Number - Program to check if a number is an Armstrong number
• String Functions - Demonstration of built-in Python string functions
• Compare Strings - Program to compare two strings
• Concatenate Strings - Program to join two strings together
• Copy String - Example of string copying in Python
• Count Characters - Program to count characters in a string
• Count Vowels - Program to count vowels in a string
• Count Words - Program to count words in a string
• Factorial (Function) - Factorial calculation using functions
• Factorial - Basic factorial calculation
• Fibonacci (Basic) - Program to generate Fibonacci sequence
• Fibonacci (Function) - Fibonacci sequence using functions
• Largest Number - Program to find the largest number
• Leap Year - Program to check if a year is a leap year
• Prime Number - Program to check if a number is prime
• Reverse String - Program to reverse a string
• Sum of Digits - Program to calculate sum of digits
• Sum of N Numbers - Program to calculate sum of N numbers
• Swap Strings - Program to swap two strings

Usage

Each program can be run independently using Python 3.x. Simply navigate to the program's directory and run:

python program_name.py

These programs are ideal for learning Python basics and understanding fundamental programming concepts.