Code Quest is a beginner-friendly learning game for Python and SQL. It now includes a fun web app for beginners with guided explanations, hints, and progress tracking.
- Demonstrates Python programming fundamentals (
dataclasses, validation logic, file persistence). - Demonstrates SQL competency using real query execution with SQLite.
- Shows product thinking: gamification, hinting, progression, and user feedback loops.
- Shows software engineering basics: tests, CI workflow, repo documentation, and MIT licensing.
- Business Analyst: SQL filtering/aggregation patterns, data reasoning, and clear user flows.
- Data Scientist: data manipulation mindset, query literacy, and iterative problem solving.
- AI/ML Roles: core coding fluency, debugging discipline, and structured evaluation logic.
- Python challenge mode with retry + hint support.
- SQL challenge mode with executable queries against an in-memory SQLite dataset.
- Scoring system (+10 Python, +15 SQL) and unlocked progression.
- Local progress persistence in
progress.json. - Reset option for repeated practice.
- Python 3
- SQLite (standard library
sqlite3) - JSON persistence
- GitHub Actions-ready CI configuration
cd "/Users/kyleparker/Documents/code game"
python3 main.pycd "/Users/kyleparker/Documents/code game"
pip3 install -r requirements.txt
python3 web_app.pyThen open http://127.0.0.1:5000 in your browser.
- Pick Python or SQL challenge.
- Submit answer or SQL query.
- Receive immediate feedback (and hints if needed).
- Earn points and continue to the next level.
main.py- menu and game loop.game.py- challenge logic, scoring, SQLite setup, persistence.tests/test_game.py- unit tests for core behavior..github/workflows/ci.yml- automated test run on push/PR.
- Description: Beginner-friendly Python + SQL learning game with interactive challenges, hints, and progress tracking.
- Website: <YOUR_PORTFOLIO_OR_LINKEDIN_URL>
- Topics:
python,sql,sqlite,business-analyst,data-science,ai-learning,education,cli-game
- Built an educational CLI product that maps technical exercises to measurable progression.
- Designed challenge validation logic for both Python and SQL with constrained retries and hints.
- Added test coverage and CI to keep behavior reliable as feature scope grows.
- Documented recruiter-discovery steps in CAREER_VISIBILITY.md.
- Add intermediate and advanced challenge packs.
- Add analytics export (CSV) for learner performance tracking.
- Add optional web UI (Streamlit or Flask).
- Add LLM-assisted hints for dynamic coaching.
This project is licensed under the MIT License. See the LICENSE file.
- Project brief:
docs/PROJECT_BRIEF.md - Resume bullets:
docs/RESUME_BULLETS.md - Web app guide:
docs/WEB_APP_GUIDE.md - Security policy:
SECURITY.md - Contribution guide:
CONTRIBUTING.md - Code of conduct:
CODE_OF_CONDUCT.md
