from flask import request app. You can change this behavior by supplying the methods argument to the route () decorator. The added benefit of automatic data validation, documentation generation and baked-in best-practices such as pydantic schemas and python typing makes this a strong choice for future projects. By default, routes only respond to GET requests.
It was designed to scale up to complex applications and to support an easy and quick start. Despite being built with a small core and considered a very lightweight Web Server Gateway Interface (WSGI), Flask stands out for its easy-to-extend philosophy. Flask-restful: It is an extension for Flask that helps your build REST APIs quickly and following best practices. Flask () is a Python microframework for web development. It was very easy to pick up FastAPI coming from Flask and I was able to get things up and running in just a few hours. Blueprint: It is used to structure the Flask application into different components, making structuring the application based on different functionality. I recently decided to give FastAPI a spin by porting a production Flask project. from website.views import posts from website.views import users app.registerblueprint(posts.mod) app.registerblueprint(users.mod) The views file, calling the routes. While Flask has become the de-facto choice for API development in Machine Learning projects, there is a new framework called FastAPI that has been getting a lot of community traction. The init file, I'm importing the blueprint.
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