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