Backend Development in Nepali 🇳🇵 | FastAPI & Python #3 — Pydantic Basics, Validation Explained

🚀 Welcome to Episode 3 of our Backend Development series in Nepali! 🇳🇵 In this video, we take a deep dive into Pydantic — one of the most important tools when building APIs using FastAPI and Python. We cover all the core concepts of Pydantic, including data validation, BaseModel, request/response schemas, default values, type checking, and how it integrates with FastAPI to make your API powerful, safe, and beginner-friendly. This is mostly a theory-focused video, but it's packed with real-life backend knowledge that every Python backend developer should know. 🎯 What You Will Learn in This Video: ✅ What is Pydantic and why it's important in backend development ✅ Understanding BaseModel and how to define data models ✅ How FastAPI uses Pydantic for validation ✅ How to define request and response schemas ✅ Default values, optional fields, and type safety ✅ Common mistakes beginners make with Pydantic ✅ Best practices for clean and maintainable API code 🌟 Who Should Watch This? Beginners learning FastAPI & Python backend in Nepali Python developers struggling with data validation and schema design Anyone curious about how modern APIs handle user input securely Students and professionals building real-world backend systems 💬 Got questions? Comment down below — I'll reply personally and help you out! 🎥 Watch the full series and don’t forget to Like 👍, Comment 💬, and Subscribe 🔔 for the next tutorials! #FastAPI #Python #Pydantic #NepaliTutorial #BackendDevelopment #LearnPython #FastAPINepali #PythonNepali #NepaliTech #NepaliProgrammer #NepaliDevelopers #BackendNepali #PydanticTutorial #DataValidation #RubinB pydantic tutorial nepali, pydantic fastapi nepali, data validation fastapi nepali, python backend validation nepali, request schema fastapi nepali, fastapi tutorial nepali, backend development python nepali, rubin bastakoti backend