Building a CRUD API Using FastAPI in Python
In this video, we explore FastAPI, a modern web framework for building APIs with Python. We'll create a CRUD (Create, Read, Update, Delete) application to manage a library of books. Starting with generating JSON data using Pydantic, we'll build the backend with FastAPI, set up endpoints to serve data to any front-end application like React or Streamlit, and demonstrate creating, reading, updating, and deleting books. Additionally, we look into using Swagger UI for API documentation and testing. Perfect for anyone looking to integrate FastAPI with their Python projects!
Code repo
https://github.com/AIgineerAB/AI_engi...
Video on pydantic and LLM to generate the data
• Using Pydantic to structure output from Ge...
00:00 Introduction to FastAPI
01:25 Setting Up the Project
02:39 Creating the API Structure
03:45 Data Processing with Pydantic
10:58 Building the First Endpoint
14:22 Exploring Swagger UI
15:39 Adding Path Parameters
18:20 Implementing Query Parameters
24:17 Creating and Posting Data
28:47 Updating and Deleting Data
32:57 Conclusion and Next Steps