zlacker

>>nsoonh+(OP)
Man, I miss Wolfram Language. Once you've twisted your brain a little to grok its usage, it's such an incredibly high-value tool, especially for exploration and prototyping. I saw it more as a do-anything software tool for researchers rather than as a language aimed at programmers, so I put on a researcher hat and tried to forget everything I knew as a professional programmer, and had a few memorable seasons with it around 2016-2020. I remember calculating precisely which days of the year would cause the sunlight to pass through a window and some glass blocks in an internal wall, creating a beautiful light show indoors. It only took a couple of minutes to get a nice animated visualisation and a calendar.

Nowadays I'd probably just ask Claude to figure it out for me, but pre LLMs, WL was the highest value tool for thought in my toolbox.

(Edit: and they actually offer perpetual licenses!)

>>hebeje+N8
The power of the language came from the concise syntax (I liked it more then classical LISPs) with the huge library of Mathematica. When Python is "batteries included", Mathematica is "spaceship included".

If this was open sourced, it had the potential to severely change the software/IT industry. As an expensive proprietary software however, it is deemed to stay a niche product mainly for academia.

>>ktpsns+S9
> If this was open sourced, it had the potential to severely change the software/IT industry.

As an engineering undergrad I had a similar feeling about Matlab & Mathematica.

Matlab especially had 'tool boxes' that you bought as add-ons to do specific engineering calcs and simulations and it was great, but I almost always found myself recreating things in python just because it felt slightly more sane to handle data and glue code.

Pandas and Matplotlib and SciPy all used via an ipython notebook were almost a replacement.