Add Python Implementation of Bracket Application#2
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- REST API built with Gin framework and GORM - JWT authentication with bcrypt password hashing - Multi-database support (PostgreSQL, SQLite) - Tournament bracket management with automatic scoring - Admin interface for managing game results - Docker support with compose configuration - Progressive scoring system (later rounds worth more points) - Real-time leaderboard calculation - Comprehensive API endpoints for all bracket operations
- High-performance API built with Axum framework and Sea-ORM - Compile-time verified database queries with type safety - JWT authentication with bcrypt password hashing - Multi-database support (PostgreSQL, SQLite) - Async/await throughout for high concurrency - Zero-cost abstractions with Rust's performance guarantees - Comprehensive error handling with structured logging - Docker support with multi-stage builds for minimal image size - Memory safety and prevention of entire classes of bugs at compile time
- Modern FastAPI framework with automatic OpenAPI documentation - SQLAlchemy 2.0 with async support and comprehensive type hints - Pydantic v2 for fast data validation and serialization - JWT authentication with bcrypt password hashing - Multi-database support (PostgreSQL, SQLite) - Async/await throughout for high performance I/O operations - Automatic API documentation with Swagger UI and ReDoc - Docker support with health checks and multi-stage builds - Comprehensive testing framework with pytest - Rich developer experience with hot reload and IDE support
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Python Implementation of NCAA Tournament Bracket
This PR adds a modern Python implementation of the Bracket application using FastAPI and SQLAlchemy for rapid development and excellent developer experience.
🐍 Key Features
🏗️ Architecture
🚀 Developer Experience
/docs(Swagger UI) and/redoc⚡ Performance Benefits
🔒 Security Features
📦 Quick Start
📚 API Documentation
FastAPI automatically generates comprehensive documentation:
/docs/redoc/openapi.json🧪 Testing & Quality
🌐 API Compatibility
Maintains full API compatibility with the original Perl implementation:
This implementation demonstrates Python's capabilities for building high-performance, well-documented APIs while maintaining modern development practices and excellent developer experience.
💻 View my work • 🚫 Ban all checks • 👤 Initiated by @mateu • About Codegen