Master Python Rest API Development With Fast API, Prisma & MongoDB | With Best Practices 👌

In this comprehensive tutorial, you'll learn how to build scalable, high-performance REST APIs using FastAPI, Prisma ORM, and MongoDB — following best practices! We’ll cover service, router, and schema-based modular architecture to help you structure your code cleanly and efficiently, ensuring easy maintenance and scalability. 🔥 What You'll Learn: FastAPI: Build fast and modern APIs with Python's top web framework. Prisma ORM: Integrate Prisma as an ORM layer with MongoDB to streamline database management. MongoDB: Utilize the flexibility of MongoDB for storing and managing unstructured data. Modular Code Structure: Organize your app using service, router, and schema-based patterns for a clean, scalable architecture. Best Practices: Implement industry-standard practices to ensure robust, maintainable code. Dependency Injection: Learn how to inject dependencies using FastAPI's powerful Depends system. API Validation with Pydantic: Use Pydantic models for input validation, serialization, and schema definition. Error Handling: Gracefully handle errors and exceptions in your APIs. 🛠️ Key Sections: Project Setup: Setting up a modular FastAPI project with Prisma and MongoDB. Prisma Integration: Configuring Prisma to interact with MongoDB and perform efficient database operations. Modular API Development: Structuring your API codebase with services, routers, and schemas. CRUD Operations: Implementing Create, Read, Update, and Delete operations with best practices. Asynchronous Operations: Leveraging FastAPI’s asynchronous capabilities for better performance. Swagger & Documentation: Automatically generate interactive API documentation with FastAPI's built-in Swagger UI. Error Handling & Validation: Using FastAPI and Pydantic for validation and error management. 🛠️ Code Structure Highlights: Service Layer: Separate business logic from API endpoints for better maintainability. Router Layer: Organize API routes into modular routers for scalability. Schema Layer: Define Pydantic models for request validation and response serialization. Middleware & Dependency Injection: Add middlewares and dependency injection to enhance functionality. 🔗 GitHub : https://github.com/GaziAdib/complete-fast-api-nextjs-app 🚀 Whether you're a beginner or an experienced developer, this video will help you master FastAPI development using Prisma ORM and MongoDB for building scalable, production-ready applications. 💻 Don't forget to LIKE, COMMENT, and SUBSCRIBE for more tutorials on Python, FastAPI, and backend development! #PythonAPI #FastAPI #MongoDB #PrismaORM #BackendDevelopment #ModularArchitecture #RestAPI #APIDevelopment #PythonBackend #FastAPITutorial