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I've used it a bit and it is pretty powerful to say the least as they've been shoving functions into it to cover nearly every domain of computing for decades in a consistent manner.

The notebooks are great, but I find Jupyter notebooks to be good enough even if they aren't as good in many ways if you aren't skilled in markup.

One of their senior scientists (Matt Trout) has some insane blog posts that show off the power of the language. He has one on using Laplace Transforms to hide an image of a goat. It is basically pages of Math. It would take two or three times the code in Python I bet.

Annoyingly, I wouldn't really use it in production as deployment looks painful and it limits the number of cores you can use. I usually use it as a super powerful prototyping tool.




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