CodeAlpha_PythonProgrammingTasks

This repository contains a collection of Python projects developed as part of the CodeAlpha internship program. Each project is a standalone console-based application designed to demonstrate different programming paradigms and problem-solving approaches, including:

• Procedural Programming
• Functional/Modular Programming
• Object-Oriented Programming (OOP)

The goal of this repository is not just functionality, but to explore how different coding styles can be applied to real-world problems.

Projects

1. ChatBot (OOP-Based)

A simple rule-based chatbot that uses Object-Oriented Programming principles to interact with users via the command line.

Features

• Responds to predefined inputs like "hello", "how are you", and "bye".
• Provides a help message for available commands.
• Runs in a continuous loop until the user types "bye".

Concepts Used

• Classes and Objects
• Methods and Encapsulation
• Conditional Logic

How to Run

1. Navigate to the chatbot directory.

   cd chatbot

2. Run the Python script.

   python chatbot.py

3. Interact with the chatbot in your terminal.

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2. Email Extractor (Procedural Approach)

A utility script that uses procedural programming approach to extract, sort, and categorize email addresses from a given text file.

Features

• Reads content from a user-specified file.
• Uses regular expressions to find all valid email addresses.
• Removes duplicate entries and sorts the list alphabetically.
• Filters and lists Gmail addresses separately.
• Saves the results to a user-specified output file.

Concepts Used

• Loops and Conditionals
• File Handling
• Regular Expressions
• Data Processing

How to Run

1. Navigate to the email_extractor directory.

   cd email_extractor

2. Run the script.

   python email_extractor.py

3. When prompted, enter the input file name (e.g., dataset.txt).
4. Enter a name for the output file (e.g., emails.txt). The results will be saved there.

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3. Hangman Game (Functional / Modular Approach)

A classic command-line implementation of the Hangman word-guessing game using functional and modular programming style.

Features

• Selects a random word from a predefined list.
• Displays the word with blanks for unguessed letters.
• Tracks correctly and incorrectly guessed letters.
• Limits the player to a maximum of 6 wrong guesses.
• Provides a main menu to start a new game or exit.

Concepts Used

• Functions and Modularity
• Lists and Strings
• Game Logic Design

How to Run

1. Navigate to the hangman directory.

   cd hangman

2. Execute the script.

   python hangman.py

3. Follow the on-screen instructions to play the game.