GSOC Summer 2015 - Second call for Proposals

[Russel Winder via Digitalmars-d]

On Thu, 2014-11-06 at 02:41 +0000, Craig Dillabaugh via Digitalmars-d
wrote:
[…]
> Linear Algebra Library   Cristi Cobzarenco     David Simcha
> based on SciD
[…]

Big Data (*) is the thing of the moment. Data science generally works in
the relative small using Julia, R, and Python/SciPy/Matplotlib/Pandas.
All the Java "Big Data" is fairly unsophisticated in comparison, in
general anyway. I am not sure if there is any C++ stuff happening
generally, there is a bit in the London quant scene, but R and Python
dominate with Julia the up and coming outsider.

If D really is as fast as C++ at execution and as fast as Python/R/Julia
at development then it is not the language, it is the libraries that
make it so. If D is to be a player then SciD need to get the same
facilities as SciPy/Matplotlib/Pandas. NumPy on which the Python stuff
is based is actually not as good as people make out, at least not at
grunt performant parallel computation. Actually it is quite slow, I can
get better performance using straight Python and Numba. On the other
hand all the algorithms are already written on NumPy.

So if SciD stopped being a Linear Algebra Library, and became a library
of scientific (and statistical) algorithms with graphic visualization
rendering, there is a small window of opportunity. On the downside,
Julia, Python, R have a lot of backing.
 

(*) Whatever that is.

-- 
Russel.
=============================================================================
Dr Russel Winder      t: +44 20 7585 2200   voip: sip:russel.winder at ekiga.net
41 Buckmaster Road    m: +44 7770 465 077   xmpp: russel at winder.org.uk
London SW11 1EN, UK   w: www.russel.org.uk  skype: russel_winder
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