Schema Validation with Pydantic: Part #11 Python API Course

Enjoy this completely free 19 hour course on developing an API in python using FastAPI. We will build a an api for a social media type app as well as learn to setup automatic tests and deploy the app and finally we'll also learn how to setup a CI/CD workflow using github actions.

Full Course Playlist:

Github Repo:

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[thegodfatheram]

I'm really enjoying your serious i waited to finish my bachelor degree and now after graduating i have all the time to learn from you thanks

[RajDas-fo]

Python 10 update:

class Post(BaseModel):
title: str
content: str
publish: bool = True
rating: int | None = None

Pydantic v2 update:

print(post.model_dump())

[NphiniT]

8:16 Now passing an integer to title will cause the request to fail. This is good

[akshaynitin]

i would recommend to use python json schema validator. this pydantic is not upto mark.

[dhiaeddinebenterki]

i don't think it's necessary to convert the pydantic model that we difined to a dictionnary using .dict() method so it can be returned as a jason format in the response body, if we return the payload just as we recieved it will be converted automaticaly to json

[Ahmed-yesd]

8:50 if you add any digits of numbers, it give you error "msg": "Input should be a valid string",