## What is Fastapi?
FastAPI is a modern, fast (high-performance) web framework for building APIs with Python. It was designed to be easy to use and to provide high performance, leveraging modern Python features like type annotations and async/await syntax. FastAPI was created to help developers build APIs quickly, without sacrificing performance or flexibility.

## Fastapi Key Features
Here are some of the most recognizable features of FastAPI:

- Easy to use and learn
- Fast and high-performance, thanks to async/await and type annotations
- Built-in support for OpenAPI and JSON Schema
- Auto-generation of API documentation with Swagger UI and ReDoc
- Dependency injection system for handling complex application dependencies
- Extensible with third-party plugins and integrations

## Fastapi Use-Cases
FastAPI is suitable for a wide range of use cases, including:

- Building high-performance APIs that can handle a large number of requests
- Prototyping and developing new APIs quickly and easily
- Building microservices and serverless applications
- Developing machine learning models and serving predictions through APIs

## Fastapi Pros
Some of the most well-known pros of FastAPI include:

- High performance, thanks to async/await and type annotations
- Easy to use and learn, with a clean and intuitive API
- Built-in support for OpenAPI and JSON Schema, which makes it easy to document and test APIs
- Dependency injection system makes it easy to manage complex application dependencies
- Extensible with third-party plugins and integrations
- Good community support with a growing ecosystem of third-party packages

## Fastapi Cons
Some of the most well-known cons of FastAPI include:

- Limited documentation compared to other frameworks like Django
- Relatively new framework with a smaller community compared to more established frameworks
- Not as suitable for building web applications with complex UIs as it is for building APIs

## Fastapi Summary
FastAPI is a modern and high-performance web framework for building APIs with Python, designed to be easy to use and flexible. It is suitable for a wide range of use cases, from prototyping new APIs to building high-performance microservices and machine learning models. While it has some limitations compared to more established frameworks, it offers a good balance of performance, flexibility, and ease of use.


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