The BEST Python package EVER 👩‍💻🐍 #tech #coder #technology #developer #python #software

[AnnasVirtual]

python programmers when they discovered types

[christianremboldt]

I only use Python for data analysis at this point.

[baelhadjhadjaissa]

I don't know why I remembered peter griffin saying : shallow and pydantic

[AndrewARitz]

I don't start any python project without switching to a useful language.

[dsracoon]

The best thing about declaring models is that you find out your data source is crazy and that you have a lot of entries that don't match what you expected. Have fun. And then once you realize you can't get pedantic about it (because it's not your data and you need it) just go back to dealing with it in code

[electronicmag]

Dataclasses do the same things and are part of the standard library. I would never tie a library so tightly with the the business core logic.

[rasputunga]

Even though pydantic is really cool it only makes sense when you have to serialize/deserialize data. Otherwise dataclasses make more sense and are probably faster

[aboliguu]

Python users when they realize programming is about data structures and not just calling premade algorithms on premade data that is displayed on premade application ui

[suhasm]

Im a fastapi developer myself I know how good is pydantic especially for json validation

[meph]

Love it when python devs discover type safety

[SuperDaroG]

Migration from Pydantic 1.x to 2.x when using more complex features is really painfull...

[chivicks_hazard]

Ok
I'm not a Python developer yet but I'll be soon.
What are the uses of this package with respect to web developers, let's say one is using Django as the backend.

[ZTST]

But...why? Why use static typing in a dynamic typing language?

I'd rather handle the serialization manually than do that - because sometimes I'm more than willing to be flexible with the type (Like int/float/double, or even with converting from a string/dict/list.). This seems wildly unnecessary.

[juaninfante]

At this point just use an actual programming language with types 🤣

[essik]

Ok, but mistake was made. You can avoid Key errors like this:

dct = { 'name': 'Someone',
'age': 32,
}

if 'balance' not in dct:
dct['balance'] = 0

print(dct['balance'])
# if we add 'balance' to dict we will still get the right value

[reold]

But pydantic is not fast. Atleast it is not as fast as other types in py

[ttv_timetempest]

Anyone remember "Raptor" programming?

[ravenecho]

Thanks i was wonderinf what the hell that was

[shayantriedcoding]

Ok but which vs code theme are you using

[borntodoit]

this looks like a dynamic documentor

will checkout pydantic