I wouldn't recommend people use XLisp or run Genera in a VM to solve real problems. Recommending J feels like that to me.
I wouldn't recommend people use XLisp or run Genera in a VM to solve real problems. Recommending J feels like that to me.
For no reason whatsoever here is a link to a guy building a Korean style wooden house by hand without using nails: https://www.youtube.com/watch?v=hvsvMzgiq6s
What are "real problems" anyway?
Sigh. You're right, I know you're right. Somehow this field is losing appeal over time. I'm going for a walk.
Not true, at all! Since 2010 or so, the APL family has only improved its reputation and grown in popularity. I listed some developments of the past two years at https://news.ycombinator.com/item?id=28930064. Now, it's not much relative to the huge growth of array frameworks like TensorFlow with more mainstream language design, but it is definitely not losing appeal.
Speaking of TensorFlow, I was looking at tinygrad the other day: https://github.com/geohot/tinygrad/blob/master/tinygrad/tens...
Very tempted to port it to BQN. I could be wrong but I bet it would shine for that. You could print the whole thing on a t-shirt.
Genera and interlisp are great. I wouldn't deploy them because:
1) slow
2) no multithreading
3) incompatible with modern cls
Point 3 is being worked on (for genera at least, and possibly also for interlisp). But none of these seems significant wrt j.