FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI Learning Example，对应中文视频学习教程:https://space.bilibili.com/396891097

Learn to build your own microservice using Python and FastAPI

This is the FARM Stack course, where you are going to learn how to build an application from scratch using FASTAPI, React and mongoDB

This repository contains the files to build your very own AI image generation web application! Outlined are the core components of the FastAPI web framework, and application leverage the newly-released Stable Diffusion text-to-image deep learning model.

Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.

FastAPI + Celery = ♥! Learn about those technologies by consulting https://derlin.github.io/introduction-to-fastapi-and-celery/

Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.

Learn to create an AI Travel Agent with FastAPI, Next.js, MariaDB, MindsDB, OpenAI, and more!

In this article, you will learn how to seamlessly integrate a FastAPI project into your Next.js application and deploy the entire project on Vercel. But that's not all! We won't stop at integration; we will take it a step further by building a simple Todo application.

《利用FastAPI构建Python微服务》学习笔记

In this tutorial we will learn how to create a powerful AI chatbot using LangGraph, FastAPI, and Streamlit.Learn to define a FastAPI backend endpoint for processing requests, integrate LangGraph agents with dynamic model selection, and design an intuitive Streamlit UI for seamless user interaction.

Learn how to build an API that trains and generate photos featuring... you! Using FastAPI, Upstash, Replicate, Jupyter, and more

Learn how to build and deploy NLP model with FastAPI

Learn how to integrate a minimal FastAPI project with Airtable as our data store.

This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.

Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker

📚 A complete roadmap to mastering FastAPI: from Python fundamentals to advanced development. Includes structured notes, resources, and example projects.

Hands-on secure code review training: learn to find vulnerabilities in Flask, Django, FastAPI through production-quality examples. Whitebox pentesting for modern web frameworks.

This is the sample application for the DevOps Capstone Project on Learn to Cloud. It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI. The goal is to get hands-on with DevOps practices like Containerization, CI/CD, IaC and monitoring.

A demonstration of integrating FastAPI with Ollama, featuring streaming, formatted, and complete JSON responses from AI models. Learn how to set up and use FastAPI with Ollama for building AI-driven applications.

Building an API with the FastAPI framework to serve a scikit-learn model.

⚡ Open-source AI toolkit: PyTorch/TensorFlow implementations, FastAPI deployment, Docker configs, MCP protocol. Learn & build AI applications.

My documented journey to learning fastapi

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Using a basic FastAPI web application, learn to use buildpacks to create and push containers to Docker Hub.

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Deploy Scikit-Learn models on Kubernetes, using FastAPI with Bodywork.

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黑马程序员Redis入门到实战教程，实战篇代码，python & fastapi 实现