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  1. There are several ways to do it depending on your specific use case and the tools that you use. You could deploy a server yourself using a combination of tools, you could use a cloud service that does part of the work for you, or other possible options.

  2. fastapi.tiangolo.comFastAPI

    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.

  3. 25 lip 2023 · In this walkthrough project, we'll create a Python backend system using FastAPI, a fast web framework, and a MongoDB database for course information storage and retrieval. The system will allow users to access course details, view chapters, rate individual chapters, and aggregate ratings.

  4. FastAPI is a modern, high-performance web framework for building APIs with Python based on standard type hints. It has the following key features: Fast to run: It offers very high performance, on par with NodeJS and Go, thanks to Starlette and pydantic. Fast to code: It allows for significant increases in development speed.

  5. 22 paź 2023 · This guide will help you deploy a FastAPI application on an AWS EC2 instance and make it available to the public with nginx. The AWS EC2 instance is free for the first year for new customers,...

  6. 2 dni temu · What is FastAPI? FastAPI Python leverages standard type hints to create high-performance APIs. Built for Python 3.6 and above, this framework accelerates development with its intuitive design and robust features. FastAPI excels in production environments, efficiently handling heavy loads while maintaining code readability and reducing bugs.

  7. Create small-scale and large-scale microservices applications using features supported by FastAPI. Build event-driven and message-driven applications using the framework. Create an asynchronous and synchronous data layer with both relational and NoSQL databases.

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