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Building Data Science Applications with FastAPI
book

Building Data Science Applications with FastAPI

by François Voron
October 2021
Intermediate to advanced
426 pages
8h 16m
English
Packt Publishing
Content preview from Building Data Science Applications with FastAPI

Chapter 4: Managing Pydantic Data Models in FastAPI

This chapter will cover in more detail the definition of a data model with Pydantic, the underlying data validation library used by FastAPI. We'll explain how to implement variations of the same model without repeating the same code again and again, thanks to class inheritance. Finally, we'll show how to implement custom data validation logic into Pydantic models.

In this chapter, we're going to cover the following main topics:

  • Defining models and their field types with Pydantic
  • Creating model variations with class inheritance
  • Adding custom data validation with Pydantic
  • Working with Pydantic objects

Technical requirements

To run the code examples, you'll need a Python virtual environment, ...

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Publisher Resources

ISBN: 9781801079211