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Python Pydantic Tutorial: Complete Data Validation Course (Used by FastAPI)

Corey Schafer

93,561 views

In this video, we'll be learning how to use Pydantic, Python's most popular data validation library. Pydantic uses type hints to validate data at runtime, ensuring that the data coming into your application meets your expectations. We'll cover everything from basic model creation and field validation to custom validators, type coercion, nested models, and model configurations. We'll also see why Pydantic is so widely used in libraries like FastAPI, data processing pipelines, and AI tools. If you've ever struggled with messy manual validation code or data that isn't the right type or format, Pydantic will make your life much easier. Let's get started...

The code from this video can be found here:
https://gist.github.com/26fbfae9fb2ad...

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Pydantic documentation: https://docs.pydantic.dev/
Pydantic types reference: https://docs.pydantic.dev/latest/api/...
More Pydantic types: https://docs.pydantic.dev/latest/api/...

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20 Comments

@coreyms Creator 11 months ago Pinned

This one turned out to be much longer than I anticipated, but Pydantic is becoming so widely used, I wanted to cover it thoroughly. I'm going to try to cut this up into shorter logical segments for the folks who prefer shorter videos, but it will require more editing on my end. So I'll post this complete uncut video for now, but be on the lookout for the segmented videos in the near future.

This tutorial took a lot of time and effort to put together. If you'd like to support these free tutorials, I'd love to have you as a Patron or YouTube Member! I give shoutouts to members and patrons at the end of each video. It helps more than you know! If you'd like to join, the links are here:
Patreon: https://www.patreon.com/coreyms
YouTube Member: https://www.youtube.com/c/coreyms/join

Hope everybody's having a great week!

@Adalace_11 4 days ago

Thank you for this course! Greetings from France. Keep up the great work!

@daniish-codes 11 months ago

We need a FastAPI course from Corey!

@goludas 11 months ago

Dude you're the reason I'm a Data Scientist today.
So good to have you back Corey!

@s-ai-d 11 months ago

I am a simple man, I see a new Corey video and I instantly like it!

@CYBER-x7u 11 months ago

Hey man I am a bug bounty hunter now , back in the day your flask web development videos really helped me to grasp the web application architecture, you taught me how web application works and now i break them for a living.

@tienloinguyen9237 2 weeks ago

In the age of AI, I'm still seeing this as a very instructive guide & easy to understand. Keep up the good work sir

@saifalam7756 7 months ago

nobody is giving this clear explanation in the current world not even paid courses...you are the real one

@MATLAKANA_BENNY 11 months ago

I was working with Pydantic for validating code today and Corey drops a video on it few hours later,thanks man

@vinayhegde7543 11 months ago

The goat is back❤

@u-2333 5 months ago

As expected as always Corey is the BEST ✨ Thank you so much Corey for giving us another banger video on Pydantic

@dataengineer_0608 2 months ago

Wow , best tutorial for beginners, love you man

@Phantom-pu1xn 9 months ago (edited)

Hey corey, I am from india i used to watch you when I was 16 year old. Today I am 22 and a backend lead at very well funded US company. Thanks for helping me during my starting days. My resources were scarce at that time. A internet connection and your videos made me who I am today.. 🫡🫡🫡

@AliAlipour-l8d 3 weeks ago

I LOVE YOUR VIDEOES>
I unsubscribed all other tutors.

@PaperChainG_ 3 weeks ago

Introduction to Pydantic: (0:00-7:08)
Setting up models & basic fields: (7:50-20:40)
Supported data types: (21:45-34:00)
Adding constraints with Field/Annotated: (34:00-44:40)
Specialized Pydantic types (Email, UUID, URL): (44:45-50:50)
Custom field validators & normalization: (50:50-57:00)
Model validators (Cross-field validation): (57:00-1:00:10)
Computed fields: (1:00:10-1:06:05)
Nested models: (1:06:05-1:12:00)
Advanced serialization & model configuration: (1:12:00-1:23:55)
Validation on assignment: (1:23:55-1:28:00)
Conclusion & ecosystem overview: (1:28:00-1:29:25)

@VenkataramanaC-z6h 9 months ago

How is this possible only for you to make such a goated python series? You are really goat man!!. You are always on youtube for us!!. Thanks man!! Thanks for everything you give!!!

@dailyyyvisuals 1 month ago

i use Pydantic too, and i’ve been using their Logfire for observability. it’s been really useful once the app moves beyond validation and you need visibility into what’s actually happening in production

@daniish-codes 11 months ago

Seeing Corey post give me happiness! the legend is still changing lives!

@keli.magnate 11 months ago

Thanks to your Python tutorials I'm a Python backend developer today. Good to have you back!

@SaidKerimov 11 months ago

Your explanation is so beautifully clear! Once I watch your video on a subject, I don't feel the need to look at any other resources. Thank you very much!