Skip to content

README.md

Latest commit

 

History

History
94 lines (75 loc) · 2.75 KB

README.md

File metadata and controls

94 lines (75 loc) · 2.75 KB

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.

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.

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.