CS50x-Portfolio

Portfolio of the projects I completed for Harvard University's CS50x: Introduction to Computer Science.

📚 About

This repository contains a comprehensive collection of coursework and projects completed as part of CS50x, Harvard University's Introduction to Computer Science. The course teaches core computer science concepts through hands-on projects using C, Python, SQL, HTML, CSS, and JavaScript.

📁 Projects Included

C Projects

• caesar: Caesar cipher implementation.
• cash: Greedy algorithm to determine change.
• filter-more: Image filter using pointer arithmetic.
• inheritance: Simulating genetic inheritance.
• mario: Mario pyramid printed with loops.
• plurality: Plurality voting system.
• readability: Computes Coleman-Liau readability index.
• recover: Recovers JPEGs from a memory card.
• runoff: Runoff voting system.
• scrabble: Scrabble score calculator.
• speller: Spell checker with hash table.
• sort: Sorting algorithm analysis.
• volume: Audio volume adjuster.
• me: First C program.
• world: Another simple C greeting.

Python Projects

• sentimental-credit: Luhn’s algorithm for credit card validation.
• sentimental-hello: First Python program.
• sentimental-mario-more: Mario pyramid in Python.
• sentimental-readability: Readability calculator in Python.
• dna: DNA matching via STR count.

SQL Projects

• movies: SQL queries on a movie database.
• songs: SQL analysis on music database.
• fiftyville: Solving a mystery using SQL queries.

Web Projects

• homepage: Personal homepage using HTML and CSS.
• trivia: Simple trivia game with JavaScript.

Flask Web Apps

• birthdays: Flask app to track birthdays.
• finance: Full-featured stock trading simulator using Flask and SQLite.

Final Project

• final-project: Habit tracker built with Flask and SQLite.

🛠️ Technologies Used

• C (via CS50 IDE)
• Python 3
• SQL (SQLite3)
• HTML / CSS
• JavaScript
• Flask (Python web framework)

🚀 How to Run

Each project is self-contained in its own folder. Check the individual README.md or comments in code (if available) for specific instructions. General requirements:

• C Projects: Use make and ./executable in the CS50 IDE.
• Python Projects: Run with python3 filename.py.
• SQL Projects: Use sqlite3 CLI or DB Browser.
• Flask Apps: Install dependencies with pip, then run using flask run.

📜 License

This repository is shared for educational and reference purposes only. All code was written as part of Harvard's CS50x course.

🙏 Acknowledgments

• Harvard University – CS50x
• David J. Malan and the CS50 Team