Pydantic Crash Course

In this crash course we're going to be checking out the Pydantic library. Which has gained similar popularity to that of FastAPI.
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[@iamrithmic]

🔴 - If you enjoyed this video. Please leave a like and subscribe :)

[@nabinsaud4688]

Do some express typescript sir

[@taghikhavari5983]

Great tutorial about Pydantic 🤘, awesome as always Fransis

[@iamrithmic]

Taghi!! Thank you bro!

[@TechVenturer]

Very helpful video! thanks for making 👍

[@iamrithmic]

You're more than welcome :)

[@kevon217]

Great crash course!

[@iamrithmic]

You are more than welcome!!

[@papunmohanty5968]

Optional[level] seems like optional but it is actually not optional, it gives `None` if no value is specified during initialization
instead of Optional we can use `Union[Level, None]` or `Level | None` (in >= python3.10)

[@insanecbrotha]

Isn't this how optional values are defined in Python callable signatures? By supplying some default value, often None? :)

[@kranthi.kumar.g]

PydanticDeprecatedSince20:
Pydantic V1 style `@validator` validators are deprecated.
You should migrate to Pydantic V2 style `@field_validator` validators

[@kranthi.kumar.g]

applying print function on `values` gives `ValidationInfo` instance.
from there `values.data` can be used to get the values as dict.

[@kranthi.kumar.g]

level: Optional[Level] = None

[@kosmonautofficial296]

Great video! I am looking forward to pydantic 2. Another things I like is the @validate_arguments decorator.