this post was submitted on 14 Oct 2023
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For math, it really depends on what you're doing. The overwhelming majority of software simply uses conditionals (if this, then that), and it also structures and consumes data. If you're working on stuff like calculating stress of physical structures, then some math may be involved. But even then, unless you're innovating in a specific field, you'll often use prior art from solved problems.
For example, if you want to write some math to create a reverb on sound, we've done that before. If you want to forecast trends, we've done that, too. Machine learning and AI is accompanied by a lot of open source libraries, so you can just install a lib and use it.