What is this specialization about? This specialization, Ultimate Guide to FastAPI and Backend Development, is a comprehensive course that covers all aspects of backend development using the FastAPI framework. It dives deep into building APIs, database integration, user authentication, and deploying applications.
Discover why FastAPI has become the gold standard for modern Python APIs. Explore its async architecture, Pydantic integration, and dependency injection system,
But Why FastAPI? We are using FastAPI for our backend because it is currently one of the most modern and efficient Python frameworks available. Here is why it shines:
Build high-performance REST APIs with FastAPI and async operations. Learn to use SQLModel, manage databases, and optimize for speed and scalability. Perfect for modern Python backends.
FastAPI fully supports asynchronous programming, allowing you to write highly concurrent and efficient code. It also integrates seamlessly with other modern tools and technologies, such as Docker, Kubernetes, and various database systems. This makes it a versatile choice for a wide range of API development projects.
Conclusion Combining FastAPI and Celery provides a powerful foundation for building asynchronous web applications. FastAPI handles HTTP requests with excellent performance and type safety, while Celery manages the complexity of distributed task processing. The complete working example is available in my fastapi-celery-demo repository.
Watch on youtube: This Developer Created the Fastest Growing Python Framework (so far..) — YouTube Meet Sebastián Ramirez, the creator behind FastAPI, and hear about his background, motivation, inspiration, and surprise at the meteoric rise of his open source project.
In this guide, we'll walk through the process of initializing a FastAPI project and setting up a Docker environment. This setup is crucial for developing robust and scalable backend applications.
FastAPI Client Generator A utility that automatically generates a pure-Python API client from an OpenAPI specification, optimized for seamless integration with FastAPI applications. This package uses Ruff to ensure consistent code quality — the generated client is automatically linted and formatted, producing clean and maintainable Python code.
