Best of FastAPIJuly 2025

  1. 1
    Article
    Avatar of testdrivenTestDriven.io·42w

    Developing a Real-time Dashboard with FastAPI, Postgres, and WebSockets

    A comprehensive tutorial demonstrating how to build a real-time inventory tracking dashboard using FastAPI, PostgreSQL, and WebSockets. The guide covers setting up database triggers with LISTEN/NOTIFY for automatic change detection, implementing WebSocket connections for live data streaming, creating RESTful API endpoints for inventory management, and building a responsive frontend that updates instantly when data changes occur.

  2. 2
    Video
    Avatar of youtubeYouTube·43w

    Complete Guide to Build and Deploy an AI Agent with Docker Containers and Python

    A comprehensive guide covering Docker fundamentals and building AI agents with Python. Starts with Docker basics including container creation, image building, and Docker Compose usage. Progresses through setting up FastAPI web applications, integrating databases, and ultimately implementing AI agents using Langchain and Langraph. Covers both local development with Docker containers and deployment strategies using services like Railway and Digital Ocean. Demonstrates how to use both managed LLM services and open-source AI models available through DockerHub.

  3. 3
    Video
    Avatar of TechWithTimTech With Tim·41w

    Python Advanced MCP Server Tutorial (Authentication, Databases & More)

    A comprehensive tutorial covering advanced MCP (Model Context Protocol) server development in Python using FastMCP. The guide demonstrates implementing OAuth authentication with Stitch, setting up HTTP transport, creating custom tools and resources, and building a React frontend for user authentication. Key topics include MCP architecture, client-server communication, bearer token authentication, database integration with SQLAlchemy, and production-ready features beyond basic MCP server setup.

  4. 4
    Article
    Avatar of mlmMachine Learning Mastery·44w

    Your First OpenAI API Project in Python Step-By-Step

    A comprehensive beginner's guide to building a Python application that integrates with OpenAI's GPT-4 API using FastAPI. Covers obtaining API keys, setting up virtual environments, creating a REST API endpoint, and testing the integration through a web interface. Includes code examples and step-by-step instructions for creating a functional chatbot API.