🐍 CS50P — Introduction to Programming with Python

A collection of all labs and the final project from Harvard’s CS50P course.

This repository documents my journey through CS50’s Introduction to Programming with Python. It includes all weekly labs and culminates in my final project: Nyra, a modular talking personal assistant.

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🧰 Skills Demonstrated

• Python fundamentals and clean code practices
• Functions, loops, conditionals, and exception handling
• File I/O and data persistence (JSON)
• Regular expressions for flexible input parsing
• Object-Oriented Programming (OOP)
• External libraries (gTTS, pygame, requests)
• Unit testing with pytest (including mocking and parameterization)
• Command-line interfaces and user interaction

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🗂 Repository Structure

Folder	Type	Description
lab0/	Lab	Basic string manipulation and input/output
lab1/	Lab	Conditionals and decision logic
lab2/	Lab	Loops and iteration
lab3/	Lab	Exceptions and file I/O
lab4/	Lab	Using external libraries
lab5/	Lab	Unit testing with pytest
lab6/	Lab	Advanced file I/O and data processing
lab7/	Lab	Regular expressions
final_project/	Final Project	Nyra — A modular talking personal assistant with Text-to-Speech

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🌟 Final Project: Nyra

Nyra is a command-line personal assistant that stands out with its natural Text-to-Speech capabilities.

Key Features

• Calculator with float support and division-by-zero protection
• Persistent memory (remember/recall) using JSON
• File search and extractive summarization
• Real-time web search via DuckDuckGo API
• Natural voice output using gTTS + pygame
• Clean OOP design with modular tools
• Comprehensive unit tests

Watch Nyra Demo

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📘 Lab Summaries

• lab0 – Basics: String transformations, tip calculator, Einstein equation
• lab1 – Conditionals: Bank greetings, meal times, basic interpreter
• lab2 – Loops: CamelCase, vanity plates, nutrition lookup
• lab3 – Exceptions & I/O: Fuel gauge, grocery list, taqueria orders
• lab4 – Libraries: Emoji, Figlet, Bitcoin price, Professor quiz
• lab5 – Unit Tests: Testing bank, fuel, plates, and Twitter functions
• lab6 – File I/O: Lines of code counter, pizza CSV, scourgify, CS50 shirt
• lab7 – Regular Expressions: IPv4 validation, YouTube extractor, time conversion, "um" counter

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📌 Notes

• All labs and the final project were completed using virtual environments on Linux.
• Each folder is self-contained with its own code and documentation.
• The final project (final_project/) demonstrates integration of multiple course concepts plus external TTS capabilities.

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Repository Link: github.com/dlukeh/cs50p

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How to Run the Final Project

cd final_project

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python project.py