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I have an alternative view: The fastest way to speed up research would be to fund an open source Wolfram software suite with feature parity. For a lot of hard t
by narrationbox 6y ago
I have an alternative view: The fastest way to speed up research would be to fund an open source Wolfram software suite with feature parity. For a lot of hard tech you need good multiphysics and CFD simulations, both of which suffer from a severe lack of open source tooling. Most of the proprietary engineering software can be cloned rapidly once a solid foundation is built. Even though Julia and Python are making progress, in terms of ergonomics and productivity it is still hard to beat the offerings by Wolfram.
(If somebody is looking for a project for Mozilla's "fixing the internet" incubator, maybe give this a shot.)
- abdullahkhalids 6y agoPython ecosystem is not even close. I recently switched from Mathematica to Python, and I am going mad from juggling half a dozen packages with overlapping features. Really wish somebody would make a meta package consisting of numpy, scipy, sympy, sage that removes conflicts and overlaps, and renames all functions with the same naming scheme.