FastAPI and Pydantic are often used together to build APIs in Python. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. Pydantic is a data validation and settings management library that plays well with FastAPI. Here's a simple example: Let's create an API using FastAPI with Pydantic for request and response models. ```python from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() # Pydantic model for request class Item(BaseModel): name: str description: str = None price: float quantity: int # Pydantic model for response class ItemResponse(BaseModel): name: str description: str = None # Endpoint to create an item @app.post("/items/", response_model=ItemResponse) async def create_item(item: Item): return {"name": item.name, "description": item.description} # Endpoint to read an item by...
As a seasoned expert in AI, Machine Learning, Generative AI, IoT and Robotics, I empower innovators and businesses to harness the potential of emerging technologies. With a passion for sharing knowledge, I curate insightful articles, tutorials and news on the latest advancements in AI, Robotics, Data Science, Cloud Computing and Open Source technologies. Hire Me Unlock cutting-edge solutions for your business. With expertise spanning AI, GenAI, IoT and Robotics, I deliver tailor services.