Dear J enthusiasts,

As a newly joint J enthusiast and the programmer that have worked in many
environments/technologies I would say J should definitely not mimic python
or compete with it directly (of course it could take good bits from it and
learn hard lessons there) but focus even more on the niches it could cover.

1. I think terseness, "extended" alphabet and composition rules are very
big asset.
2. It would be good to find specialty, demonstrate it, sell it, and focus
even more to be the best there.
3. Make sure we have basic building blocks close to perfect (for example,
add data structures impl already mentioned, add premium time series or
wavelets support).
4. Add very high quality add-ons that will make difference and impact the
choice of newcomers (possible candidate areas: serious data mining, graph
spectra, wavelets, random matrices, high dim probability, causal inference,
...)
5. Have very high quality books like Fractals, Visualization and J -
frankly speaking reading this book was the selling point for me several
months ago.
6. Have jobs (there are kdb jobs, why not develop/dispaly very focused
cases that could be industrial cases that J is the best in some valuable
niches)

Cheers,
Pawel
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