[pypy-dev] Questions on the pypy+numpy project

[Ian Ozsvald]

> As an example - I want numpy for client work. For my clients (the main
> being a physics company that is replacing Fortran with Python) numpy
> is at the heart of their simulations. However - numpy is used with
> matplotlib and pyCUDA and parts of scipy. If basic tools like FFT
> aren't available *and compatible* (i.e. not new implementations but
> running on tried, trusted and consistent C libs) then there'd be
> little reason to use pypy+numpy. pyCUDA could be a longer term goal
> but matplotlib would be essential.

Hi David, Fijal. I'll reply to this earlier post as the overnight
discussion doesn't seem to have a good place to add this.

Someone else (I can't find a name) posted this nice summary:
http://blog.streamitive.com/2011/10/17/numpy-isnt-about-fast-arrays/
which mostly echoes my position.

Does anyone have a guestimate of the size of the active numpy user
community minus the scipy/extensions community. I.e. the size of the
community that might benefit from pypy-numpy (excluding those that use
scipy etc who couldn't benefit for a [long] while)?

At EuroSciPy it felt as though many people used numpy+scipy (noting
that it was a scipy conference). At EuroPython there were a number of
talks that used numpy but mostly they used other C or extension
components (e.g. pyCUDA, Theano, visualisation tools).

i.
-- 
Ian Ozsvald (A.I. researcher)
ian at IanOzsvald.com

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