'TypedDict' In Python Is Actually AWESOME!

TypedDict in Python is actually awesome! In this video I will cover quickly how you can use it in your projects.

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00:00 Intro
00:28 Using TypedDict
02:13 NotRequired
03:11 Problem
03:39 TypedDict alternative version
04:42 Required
06:36 Deprecated in 3.11
07:01 Printing the TypedDict
07:20 Summing it up

[tfr]

i love the way you pronounce “category”, very unique haha

[kolterdyx]

Hell yeah! I had no idea this was possible! I've been missing this feature for ever since I started using typescript. Having an interface for a simple data type like a dictionary is the best!

[kvelez]

from typing import TypedDict, NotRequired

class Coordinate(TypedDict): # inheritance
x: float
y: float
label: str
category: NotRequired[str] # could be excluded / type needed

# IDE helps with type: Coordinate
coordinate: Coordinate = {"x":10, "y":10, 'label':"Profit", 'category':"Finance"}
coordinated: Coordinate = {"x":15, "y":25, 'label':"Expenses"} # category not used.

6:40
from typing import TypedDict, NotRequired, Required

Vote = TypedDict('Vote', {"for":int, "against":int}, total=False) # override for
Votes = TypedDict('Votes', {"for":int, "against":Required[int]}, total=False) # type needed

vote : Vote = {"for":100, "against":250}
votes : Votes = {"against": 450}

[maswinkels]

Great video. Useful info and clearly explained. Thanks!
(One small thing: the word 'category' has emphasis on the first syllable: CATegory).

[ajdziaj]

Nice feature. I’m definitely going to try it out in next project.

And I like your style of these videos, keep up the good work 🙂

[AlmondAxis]

Ooh this is quite similar to c++'s 'typedef struct' declaration. It's super useful in data management for vectors and matrices.

[erickemayot]

I really enjoy learning from your video compilations. Thanks so much for the good work. Keep them coming through.

[berkaybakacak]

This is not Python that I know 😂 This channel teached me a lot. Thank you so much

[matteolacki]

Hello! Is it not against the idea of a dictionary to specify in advance the keys and their types? Python also has namedtuples that should be way more efficient in use, especially given that one needs to declare types in advance, so obviously one needs to know them in advance. Is there a version of namedtuples where one can specify types?

[alidev]

please make a video about class methods and object methods(all kind of it ) and the differences between them just for clarification (and also usage of them in real situations)
because the way you teach is amazing and thank you very much for your consideration

[SkyyySi]

Please note that this is a bad use of TypedDict. The reason to use TypedDict is to adapt code that's already depending on untyped dictionaries to use types. Perhaps to add a type structure to the result of json.load(). However, designing your structured code from the ground up around dictionaries is a bad idea, because the purpose of a dict is to be unstructured. For designing strucutred types, Python has a dedicated mechanism: Classes. In particular, the dataclass from the dataclasses module. These are designed to have a structure, and are generally more convenient to use that way (for example, because they support looking up attributes with object.field instead of object["field"] out of the box).

[paljain]

I luv TypedDict, I had a long json body and keys were long I have to go back and forth to copy and paste that key. once I created the TypedDict the auto complete feels like magic ✨.
unfortunately i had to use python 3.7 in prod so I had to install typing-extensions module to use TypedDict.

[rogumann]

I dont see why I would use this over creating a dataclass of some sort

[ada-victoria]

Love your content! not sure if it's intentional but your channel logo is so similar to LinkedIn I keep thinking it's a video posted by them fyi...

[alansnyder]

What version of python3 is this? The "typing" package seems to change between sub-versions. For example, I would have thought you would use Optional and didn't even know NotRequired existed.

[flames]

Thanks for the info! I feel like this will make OOP easier to a certain extent.

[anasssofti]

Emm This will definitely help to organise more the codes, thanks for the tip

[albertashabaaheebwa]

Awesome. Although you didn't demostrate the use of reserved keywords since for != 'for', in != 'in'
Nonetheless, Awesome tutorial

[thisoldproperty]

I'm now wondering when to use TypedDict vs @dataclass

[darrenlefcoe]

great video. It seems that python is chasing statically typed languages in this regard. Better to keep to core, simple, readable python...