On Oct 3, 2008, at 8:26 PM, Galchin, Vasili wrote:
Here is a site I discovered a while back for another
language ... I guess in the back of my mind this more where
I was going vis-a-vis scientific computing .... http://www.enthought.com/
I interned at Enthought over this last summer; it's a very cool place.
Many of the open-source scientific libraries could be rewritten in
Haskell without significant difficulty, and this actually seems like a
decent idea.
SciPy and NumPy are the two most significant libraries worth thinking
about, in my opinion. Some of the other software, e.g. Traits, is less
relevant to scientific software in the context of Haskell.
Much of their stack, especially Traits, TraitsGUI, and application
libraries are designed to help write applications quickly without much
programming experience. With these tools, it's easy for scientists,
without knowing much Python, to write large programs that work well
for most of their purposes.
Jeff Wheeler
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