As a random computer engineer, I find using mathematica to be extremely convenient when trying to grok a problem or lay out a first attempt at a solution. Of co

As a random computer engineer, I find using mathematica to be extremely convenient when trying to grok a problem or lay out a first attempt at a solution. Of course it isn't really helpful when dealing with glue issues (i.e. making software work together) but it is really good at letting you experiment at a high level and put together an algorithm to process/interpret/transform/generate some data. I say it's good for high level experimentation because basically every function/transform/operation/solver you could ever need is present in the standard library [1] and stuff "just works". IMHO it's not really something you'd want in production but it lets you get an MVP for a given problem/solution working faster than any other tool I've used and all while rarely needing to even consider a 3rd party library. You can then focus on just mapping that MVP to whatever language/library/ecosystem you are actually working in. 1. https://reference.wolfram.com/language/ https://reference.wolfram.com/language/