Python Programs Collection

📋 Overview

A comprehensive collection of Python programs covering various topics from my programming curriculum. This repository contains programs ranging from basic concepts to advanced applications including a full Django web application.

🗂️ Repository Structure

📁 IInd_unit/

Unit 2 programming exercises and academic programs

• academic.py - CGPA calculation system
• matrix.py - Matrix operations
• u2_p1.py to u2_p15.py - Various programming problems

📁 OOP/

Object-Oriented Programming examples

• p1.py - Shape classes (Circle, etc.) with inheritance
• p2.py - OOP concepts demonstration
• p3.py - Advanced OOP examples

📁 pro/

Programming problems and utilities

• fibonacci(p9).py - Fibonacci sequence generator
• birthday(p12).py - Birthday calculator
• blood_group(p5).py - Blood group analyzer
• cards(p1).py - Card game simulations
• collatz_sequence(p10).py - Collatz conjecture implementation
• Exact_change(p13).py - Change calculation algorithm
• student_marks(p8).py - Student grade management
• stringmanipulation(p4).py - String processing utilities
• And many more programming exercises...

📁 python_program_list/

Comprehensive list of Python programs (p1.py through p20.py)

• Basic to advanced Python programming concepts
• Algorithm implementations
• Data structure examples

📁 taskmanager/

Django Web Application - Task Management System

• Full-stack Django project with SQLite database
• Features: Add, update, delete, and view tasks
• Templates for user interface
• RESTful API endpoints

📁 python unit 2/

Additional Unit 2 programming exercises

• Numbered programs (1.py through 15.py)
• File operations and data processing

📁 unit 1 & 2 extra/

Extended collection of programs from Units 1 and 2

• 24 comprehensive programs
• Advanced concepts and algorithms

🚀 Tech Stack

📦 Installation & Setup

Prerequisites

• Python 3.8 or higher
• Git
• Virtual environment (recommended)

Clone the Repository

git clone https://github.com/GayatriParimiDev/Python-Programs.git
cd Python-Programs

Django Task Manager Setup

cd taskmanager

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
# source venv/bin/activate

# Install Django
pip install django

# Run migrations
python manage.py migrate

# Start development server
python manage.py runserver

Visit http://127.0.0.1:8000/ to access the task manager application.

🎯 Program Categories

🔢 Mathematical Programs

• Fibonacci sequences
• Matrix operations
• CGPA calculations
• Collatz conjecture
• Exact change algorithms

🎮 Game & Simulation

• Card games
• Number guessing games
• Text-based adventures

📊 Data Processing

• Student marks management
• File I/O operations
• JSON data handling
• Text processing utilities

🏗️ Object-Oriented Programming

• Shape hierarchies
• Inheritance examples
• Polymorphism demonstrations
• Class design patterns

🌐 Web Development

• Django task management system
• CRUD operations
• Template rendering
• Database interactions

📖 Usage Examples

Running Individual Programs

# Navigate to specific folder
cd pro

# Run a program (example: Fibonacci)
python fibonacci(p9).py

Academic CGPA Calculator

from IInd_unit.academic import add_course, calculate_cgpa

# Add courses with credits and grade points
add_course("Mathematics", 4, 9.5)
add_course("Physics", 3, 8.0)
add_course("Computer Science", 4, 9.0)

# Calculate CGPA
cgpa = calculate_cgpa()
print(f"Your CGPA is: {cgpa:.2f}")

Shape Area Calculator (OOP)

from OOP.p1 import Circle

# Create a circle object
circle = Circle(5)
print(f"Area: {circle.area():.2f}")
print(f"Perimeter: {circle.perimeter():.2f}")

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 Program Documentation

Each program includes comments explaining:

• Purpose and functionality
• Input requirements
• Output format
• Algorithm used (where applicable)

🏆 Learning Outcomes

This collection demonstrates:

• ✅ Basic Python syntax and data types
• ✅ Control structures (loops, conditionals)
• ✅ Functions and modules
• ✅ File I/O operations
• ✅ Object-oriented programming
• ✅ Data structures and algorithms
• ✅ Web development with Django
• ✅ Database interactions
• ✅ Error handling and validation

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

Gayatri Parimi

• GitHub: @GayatriParimiDev
• Repository: Python-Programs

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