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Software Development with Claude Code

A course repository featuring accompanying code for the course exercises.

📚 Course Overview

This repository contains multiple mini-projects and exercises that teach software development practices using Claude Code. All projects work with the Chinook sample database, a realistic music store dataset, allowing you to focus on development patterns rather than data setup.

🗂️ Project Structure

Main Projects

Each project directory contains a CLAUDE.md file with specific instructions and context for that exercise.

Music Analytics API - Build REST APIs for querying music data

Music Analytics Reporter - CLI tool for generating music database reports

🚀 Getting Started

Prerequisites

  • Python 3.12+
  • uv (or pip)
  • Claude Code CLI installed

📦 Dependencies

Key packages included:

  • Flask/FastAPI - Web framework
  • SQLAlchemy - Database ORM
  • Pydantic - Data validation
  • pytest - Testing framework
  • requests/httpx - HTTP clients

See pyproject.toml for the complete list.

💾 Database

All projects share the chinook.db SQLite database containing:

  • Artists, Albums, Tracks
  • Genres, Playlists
  • Customers, Invoices
  • Sales data

Use any SQLite client or the MCP database tools to explore the schema.

📋 Learning Path

  1. Start with the API projects to learn REST API patterns
  2. Progress to the Reporter projects to practice planning and implementation
  3. Use Archive projects to see alternative approaches

Each project builds on patterns from previous exercises.

🔗 Resources