FastAPI for Machine Learning | CampusX - Pydantic Crash Course | Data Validation in Python | CampusX

Code - https://github.com/campusx-official/pydantic-crash-course Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes My Notes: https://learnwith.campusx.in/products#nav_bar Pydantic helps you define clear, type-safe data models and automatically validates the data—saving you tons of time. We'll cover: What Pydantic is and why it’s so useful How to define data models with Pydantic How it performs automatic data validation, parsing, and error handling Real-world examples to show Pydantic in action If you’re working with APIs, web apps, or data-driven projects, this crash course will help you write cleaner, more reliable code. ============================ Did you like my teaching style? Check my affordable mentorship program at : https://learnwith.campusx.in DSMP FAQ: https://docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official Slide into our DMs: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 02:25 - Why is Pydantic used? 13:24 - How does Pydantic Works? 49:30 - Field Validator 01:03:25 - Model Validator 01:06:45 - Computed Fields 01:11:44 - Nested Models 01:18:50 - Serialization 01:25:00 - Outro