FastAPI Tutorial #5 - Data Validation in FastAPI with Pydantic:Ensuring Clean Input [2024]
Dive deep into data validation in FastAPI using Pydantic! In this video, we'll explore how to enforce data integrity by validating user inputs with Pydantic's powerful features. Learn how to set constraints, handle invalid data, and use advanced validation techniques to ensure your FastAPI applications are robust and error-free.
We’ll start by covering the basics of validating strings, numbers, and email addresses. Then, we'll move on to advanced validation using regular expressions and Pydantic's built-in types. By the end of this video, you’ll be equipped to handle data validation in your FastAPI projects like a pro.
⏰ Chapters:
0:00 - Introduction
0:30 - Setting Up Basic Data Validation
2:15 - Handling Invalid Data and Error Messages
3:45 - Advanced Validation with Pydantic
5:25 - Using Regular Expressions in Validation
6:40 - Conclusion and Next Steps
Whether you're a beginner or an experienced developer, this video will help you master data validation in FastAPI. If you find this content helpful, please like, share, and subscribe to stay updated with our FastAPI series!
#fastAPI #pyhon #pydantic #datavalidation #api
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