FastAPI Tutorial Part 3: Pydantic Basics, Data validation and BaseModel

🚀 Master Data Handling in FastAPI with Pydantic! (Part 3) 🚀

Welcome back to the FastAPI tutorial series! In this third installment, we dive deep into the fundamentals of Pydantic, the powerful data validation and serialization library that works seamlessly with FastAPI.

In this video, you'll learn how to:

Effortlessly handle automatic data serialization and deserialization in your FastAPI applications using Pydantic.
Define clear and concise data models with Python type hints in Pydantic.
Implement robust data validation techniques, both with and without leveraging Pydantic's BaseModel, complete with practical coding demonstrations.
Exclude specific fields from your validated data using Pydantic within your FastAPI projects.
Develop a fully functional POST API endpoint in FastAPI, utilizing Pydantic to ensure data integrity and streamline your development process.
By the end of this video, you'll have a solid understanding of how to use Pydantic to ensure data integrity, simplify data handling, and build robust APIs with FastAPI.

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🔗 Resources:
Watch the full FastAPI tutorial playlist here: https://www.youtube.com/playlist?list=PL0BwLgm6AcFZhJehdlez2NZtQ9Kn13OsP
Watch Part 1: https://youtu.be/xGr00JeL8J8
Watch Part 2: https://youtu.be/Wd-TIwUv5Dg

Note: Please do the hands on practice on the code which we created in this lecture. More you do it with your hands, more you will understand it.

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Видео FastAPI Tutorial Part 3: Pydantic Basics, Data validation and BaseModel канала Code Goat