FastAPI + Pydantic Tutorial – Validate Your Data Like a Pro

In this video, I dive deep into the power of Pydantic, a data validation and parsing library used in modern Python backend development (especially with frameworks like FastAPI and Flask).

🔍 What you’ll learn:
How to convert incoming HTTP requests into structured Pydantic model instances.
How to return responses by converting Pydantic classes into JSON automatically.
How data validation works for both requests and responses, making your API more reliable and bug-resistant.

By the end of this video, you’ll understand why Pydantic is so powerful and how to use it effectively in your Python backend applications. This is a beginner-friendly tutorial with hands-on examples and real-world insights.

🧑‍💻 Whether you’re building APIs with FastAPI, Flask, or any other framework, this video will boost your understanding of type-safe backend development.

GitHub repository: https://github.com/RajKKapadia/Udemy-Master-Google-Dialogflow-CX/tree/main/Understand-Pydantic-Backend

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Видео FastAPI + Pydantic Tutorial – Validate Your Data Like a Pro канала Raj Kapadia