I have read about the article about how Photomath is developing their own functional programming language in its step-by-step solver
https://medium.com/photomath-engineering/advantages-of-using-functional-programming-in-photomath-step-by-step-solutions-e3909f899871 Unfortunately, the article is not that much detailed about its technical details, But I get the glimpse of the idea that 'immutability' and 'pure function' is important in computer algebra system. And they point out that the problem about python (and maybe sympy) is, that python is designed to be very 'dynamic' language, and if you program everything semantically 'immutable' and 'pure', the python interpreter won't recognize that and can't optimize the functional program written with it because CPython assumes that your program is 'dynamic'. So they chose to develop their own functional DSL in C++. I'm not sure how designing a DSL is useful for computer algebra systems despite it can give freedom to choose syntax as convenient as possible, but the optimization part is interesting for why true functional proramming language is needed. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/11d0d471-06f6-4f0b-a65c-8ebf1c9e747cn%40googlegroups.com.
