FastAPI Tutorial Part 6: Dynamic Pydantic Model using create_model

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Unlock the power of dynamic data modeling in FastAPI with Pydantic's create_model function! In Part 6 of our FastAPI tutorial series, this video delves into solving real-world challenges where your API schema isn't fixed, providing unparalleled flexibility in your Python applications.

This tutorial is essential for developers aiming to build highly adaptable, maintainable, and robust Python APIs with FastAPI and Pydantic. It covers everything from the problem deep dive to advanced validation techniques, empowering effective implementation of dynamic models in projects.

What is covered in this tutorial:

- Understanding the real-world problem of fixed schemas in FastAPI and when dynamic models are necessary.
- Implementing dynamic request body validation to handle flexible incoming data.
- Creating dynamic response models for adaptable API outputs based on conditions.
- Adding advanced Pydantic validation to dynamically created models for data integrity.

Resources:

Series Playlist:

Timestamps:

00:00 Introduction
00:21 Real World Problem
06:25 Dynamic Basemodel Development
11:21 Dynamic Post Request Development
17:30 Dynamic Response Development
29:21 Add pydantic validation
32:13 Assignment
34:00 Advance Real World Scenario

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