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by shawn 2833 days ago
newLISP is a Lisp-like, general-purpose scripting language. It is especially well-suited for applications in AI, simulation, natural language processing, big data, machine learning and statistics. Because of its small resource requirements, newLISP is excellent for embedded systems applications. Most of the functions you will ever need are already built in. This includes networking functions, support for distributed and multicore processing, and Bayesian statistics.

Now I can train a neural net to calculate the probability that a distributed computation will fail without having to type `require`.

NewLISP looks interesting.

1 comments

I worked with Lutz, the primary developer, briefly in 2006. I used NewLISP for a few years after that, mostly for distributed computing with net-eval(). I briefly tried using it as a systems programming language where one might have reached for Perl or the then-up-and-coming Ruby or Python. If you like lispy languages, you'll probably enjoy playing with it.