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.
Overview
Syllabus
- 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
