Type Hinting Makes Your Code More Professional

In this video we learn why type hinting makes your Python code more professional and how to do it.

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Timestamps
(0:00) Intro
(0:17) Type Hinting Basics
(6:17) Collection Types
(9:28) Custom Types
(13:26) Advanced Types
(19:42) Generics & Type Variables
(24:03) Outro

[alperengencoglu]

Nice video.
Also, one of the best advantages of type hinting is that you can benefit from IntelliSense / code suggestions in the function body for a variable which is passed to the function as parameter.

[Delirium]

I'm using type hinting, but that's totally different level. Great

[xrdgx]

What about returns or inputs with numpy?

[MangoNutella]

The intro is too loud in comparison to the rest of the video. This has been a problem for a long time now.

[yoavmor]

Optional isn't a fancy way to mark optional function parameters.

It means the value can be None. Optional[T] is simply Union[T, None]

[loki]

Extra thing I've learnt recently - you use the following to not do imports just for typing.
Also types surrounded by semicolons is a legit syntax and can be used for types which won't be imported during execution.

if typing.TYPE_CHECKING:
from my_module import MyClass

def myfunc(arg1: "MyClass"):
pass

[josefhamelink]

Since 3.10 you can also do
----
def myfunction(myparam: int | float) -> int | float:
----
instead of
----
from typing import Union

def myfunction(myparam: Union[int, float]) -> Union[int, float]:
----

[aymancassim]

Have you ever considered learning Rust? Nice video btw!