Working with Data Models in FastAPI

Harness the power of Pydantic models for data validation and structuring. Design and validate robust data models and seamlessly integrate nested models. This course sharpens your data-handling skills, ensuring accurate and reliable API interactions.

Lessons and practices

Lesson 1: Data Modeling with Pydantic and FastAPI

Testing Pydantic Models and Endpoints

Change Response by Altering Model

Completing the Response Model

Fix the Pydantic Model

Implementing the Pydantic Model

Lesson 2: Handling POST Requests with Pydantic Models

Using Model to Handle POST Request

Setting Up POST Endpoint

Streamline Your POST Endpoint

Fix the Validation Issue

Write a POST Endpoint using Pydantic

Lesson 3: Validating Data with Pydantic Models

Observing Data Validation

Completing Pydantic Validation

Add Multiple Constraints to Fields

Adding Email Validation to Model

Write Your Own Validation

Lesson 4: Custom Validation in Models

Validate Custom Rules in FastAPI

Fill the Custom Validation

Fix Custom Validation Bug

Enhance Validation for Engineers

Write Custom Validation from Scratch

Lesson 5: Nested Models for Complex Data Structures

Testing Your Nested Models API

Completing the Nested Model

Fix the FastAPI Nested Models

Enhancing Nested Data Structures

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