On Tue, Nov 3, 2015, at 12:20 PM, Devon McCormick wrote:
> It sounds like what you're saying is that more people (at least those
> like
> you) would be more attracted to J if there were some large, specific
> applications instead of general-purpose tools - is this accurate?

The friction between convenience and performance with array languages
has long been an issue. On the one had we have C/C++/Fortran and on the
other Matlab/R/Python. Now that machine learning has become a standard
tool in business, there is much greater attention to the issue. Witness
the quick interest in Julia, despite its not being a particularly good
array language. This is partly what prompted me to dabble with K/Q.

So, I'm saying that machine learning is an excellent opportunity to
bring J to the attention of people who are not language hobbyists but
are looking for a better tool to get the job done. Consider what Rails
did for Ruby.

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