Quantitative finance projects and exercises.
| # | Topic | Key Concepts |
|---|---|---|
| 01 | pytest & TDD | Fixtures, parametrize, approx, TDD cycle |
| 02 | Pydantic | Validators, computed fields, serialization |
| 03 | FastAPI | Routes, status codes, TestClient |
| 04 | Async Python | async/await, gather, aiohttp |
| 05 | yfinance | Market data, pandas, data quality |
| 06 | Claude API | Anthropic SDK, prompts, error handling |
| 07 | Docker | Dockerfile, compose, multi-stage builds |
| 08 | PostgreSQL | SQLAlchemy 2.0, async, migrations |
| Project | Description | Status |
|---|---|---|
| Stock Risk Scanner | Portfolio risk scanner with AI-generated narratives | Active |
See each exercise or project directory for setup instructions.