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CODSOFT Python Programming Internship

This repository contains all the tasks completed during the Python Programming Internship offered by CODSOFT.
The projects are built using Python and focus on improving problem-solving skills, logic building, and practical application development.

📌 Internship Details

  • Domain: Python Programming
  • Organization: CODSOFT
  • Mode: Virtual Internship
  • Repository Name: CODSOFT

📂 Projects Included

1. To-Do List Application

A simple application to manage daily tasks efficiently.

Features:

  • Add tasks
  • Update tasks
  • Delete tasks
  • View task list

2. Calculator

A basic calculator that performs arithmetic operations.

Features:

  • Addition
  • Subtraction
  • Multiplication
  • Division

3. Password Generator

A Python application that generates strong and random passwords.

Features:

  • Custom password length
  • Random character generation
  • Strong password creation

4. Rock-Paper-Scissors Game

A fun command-line game where the user plays against the computer.

Features:

  • Random computer choice
  • Winner detection
  • Multiple rounds support

5. Contact Book

A contact management system using Python.

Features:

  • Add contact
  • Search contact
  • Update contact
  • Delete contact
  • View all contacts

🛠️ Technologies Used

  • Python
  • VS Code
  • Git & GitHub

🎯 Learning Outcomes

Through these projects, I improved my:

  • Python programming skills
  • Problem-solving ability
  • Logic building
  • GitHub project management
  • Command-line application development

📬 Contact

Allen
Engineering Student – Artificial Intelligence & Data Science || Patent Holder

MADE FOR CODESOFT https://www.linkedin.com/company/codsoft/posts/?feedView=all

Portfolio: https://allen745.github.io/
GitHub: https://github.com/allen745

Linkedin: https://www.linkedin.com/in/allen-christian-708545409/


⭐ Thank you for visiting this repository!

About

A curated suite of command-line and GUI applications built during the CodSoft Python Programming Internship, focusing on clean logic, script optimization, and fundamental algorithm design.

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