🎯 How to Add API Input Validation using Pydantic & Try/Except in Python Flask

In this video, we’ll walk through how to add validation to your API input payloads using Pydantic, the powerful data validation library that works seamlessly with Flask (and other Python frameworks). 🚀

We'll cover: ✅ Creating Pydantic models for input data
✅ Enforcing required fields and data types
✅ Handling validation errors with try / except
✅ Sending clear error responses to the client

By the end of this video, you’ll know how to:

Prevent bad data from reaching your business logic

Return meaningful error messages for invalid input

Make your API more robust and reliable

🔧 Whether you’re building a REST API or working with microservices, proper validation is a must — and this tutorial shows you how to do it the clean and Pythonic way.
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#Python #Flask #Pydantic #APIDevelopment #Validation #Backend #WebDevelopment

Видео 🎯 How to Add API Input Validation using Pydantic & Try/Except in Python Flask канала Rugged Programmer