Greetings Everyone!
I’ve been exploring ITK’s Functional Pythonic Interface, as it is briefly mentioned in Python Quick Start (Python Quick Start - ITK's documentation) — it is absolutely yummy, delicious and just awesome! Who came up with this? 
I’m wondering, what’s is the way to list/see the filters available under the ITK’s Functional Pythonic Interface, short of looking through Python source files in Lib\site-packages\itk?
And, when I want to look into parameters for any given filter, say ChangeImageInformationFilter, with it’s corresponding change_information_image_filter(), there’s not much joy I get from this:
help(itk.change_information_image_filter)
Help on function change_information_image_filter in module itk.itkChangeInformationImageFilterPython:
change_information_image_filter(*args: Union[ForwardRef('itk.ImageBase'), collections.abc.Buffer, numpy._typing._array_like._SupportsArray[numpy.dtype[Any]], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], reference_image: 'itk.Image' = Ellipsis, use_reference_image: bool = Ellipsis, output_spacing: Sequence[float] = Ellipsis, output_origin: Sequence[float] = Ellipsis, output_direction=Ellipsis, output_offset: Sequence[int] = Ellipsis, change_spacing: bool = Ellipsis, change_origin: bool = Ellipsis, change_direction: bool = Ellipsis, change_region: bool = Ellipsis, center_image: bool = Ellipsis, **kwargs) -> Union[ForwardRef('itk.ImageBase'), collections.abc.Buffer, numpy._typing._array_like._SupportsArray[numpy.dtype[Any]], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]], Tuple[Union[ForwardRef('itk.ImageBase'), collections.abc.Buffer, numpy._typing._array_like._SupportsArray[numpy.dtype[Any]], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], ...]]
Proxy of C++ itkChangeInformationImageFilterISS2 class.
… which is not immediately usable information, and then I find myself wading through code in ...\Lib\site-packages\itk\itkChangeInformationImageFilterPython.py.
Would it be possible to have Pydoc style documentation generated and made available alongside Doxygen to support/simplify/enhance the ITK functionality discovery and learning process?
Or, maybe I’m missing something big in this department?
My PyCharm is refusing to show proper code IntelliSense, code completion for ITK. 
and