Pydantic model basics
📖 Scenario: You are building a simple FastAPI app to manage user data. You want to use Pydantic models to define the shape of the user data clearly and safely.
🎯 Goal: Create a Pydantic model called User with specific fields, then use it in a FastAPI endpoint to accept user data.
📋 What You'll Learn
Create a Pydantic model named
User with fields id (int), name (str), and email (str).Add a variable
app as a FastAPI instance.Create a POST endpoint
/users/ that accepts a User model as input.Return the received
User data as JSON in the response.💡 Why This Matters
🌍 Real World
Using Pydantic models in FastAPI helps create APIs that clearly define what data they expect and return. This reduces bugs and improves communication between frontend and backend.
💼 Career
Many backend developer jobs require knowledge of FastAPI and Pydantic for building modern, fast, and reliable APIs.
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