Hi Mahesh,
Regarding the raw data access, what specific parts of the code are you
looking at?
Thanks,
Jake
Jake VanderPlas
Senior Data Science Fellow
Director of Research in Physical Sciences
University of Washington eScience Institute
On Wed, Feb 10, 2016 at 6:09 PM, mahesh ravishankar <
mahesh.ravishan...@gmail.com> wrote:
> Hi,
>
> I am looking at scikit as an app for prototyping a Python module that
> exposes an array-like object I am developing. I was going through the
> Cython files and see that a lot of places, the raw data buffer of numpy are
> accessed by accessing the c-field (i.e. "data" field) exposed through the
> cython/numpy interface. I am a relative newbie to cython, but from my
> understanding using typed memoryview (
> http://docs.cython.org/src/userguide/memoryviews.html#memoryview-objects-and-cython-arrays)
> is the recommended way of accessing data in an array object. I was
> wondering if this was done due to legacy reasons, or performance reasons?
>
> For me to evaluate my array object interface, I am thinking of changing
> scikit to use the typed memoryview. If there is interest in this, I can
> push this change to scikit. Any comments about why this would not be a good
> idea are deeply appreciated.
>
> Thanks,
> --
> Mahesh
>
>
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