In this series of videos, we'll be learning how to build a full-featured web application from the ground up using the FastAPI framework in Python. We'll build both a JSON API for programmatic access and HTML pages for users to browse in the browser. Throughout the series, we'll set up a database with SQLAlchemy, create Pydantic models for data validation, and implement complete CRUD operations. We'll add user registration and login with secure password hashing and JWT tokens, handle file uploads for profile pictures, use background tasks for sending emails, and organize our code properly with routers.

In this first video, we'll keep things simple. We'll install FastAPI, create a basic application, build a couple of routes that return JSON, run the app from the command line, and explore FastAPI's automatic documentation. Then we'll add some dummy data, create an API endpoint, and preview returning HTML responses. Let's get started...

The code from this video can be found here:
https://github.com/CoreyMSchafer/FastAPI-01-Getting-Started

UV Tutorial - https://youtu.be/AMdG7IjgSPM

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#Python #FastAPI

Corey Schafer

FastAPI tutorial covering initial setup and basic concepts. Demonstrates installing FastAPI with standard extras, creating a basic application instance, defining routes using decorators, returning JSON responses, and accessing automatic API documentation at /docs and /redoc. Shows how to create both API endpoints that return JSON and HTML routes for browser viewing, use dummy data with dictionaries, stack decorators for multiple URLs, and exclude HTML routes from API documentation using include_in_schema parameter. Introduces the FastAPI CLI dev mode for auto-reload during development.

Python FastAPI Tutorial (Part 1): Getting Started - Web App + REST API