azizalqasem / formulalab Goto Github PK

This is an excellent tool, I really thought SymPy was capable of this sort of thing. However for more advanced equations, like differential equations, it does not exactly work, if I describe something like the time - independent - schroedinger - equation I dont have a way of putting it in, even if it cant do all the operations, would it work to maybe take the stringified version of the SymPy data e.g Eq(-hbar**2*Derivative(psi(x), (x, 2))/(2*m) + V(x)*psi(x), E*psi(x)) this can maybe be walked like an AST? Treat unknowns as functions?

Just a suggestion:
It looks like you are doing your own parsing, which is commendable, but maybe something like atoms() or free_symbols() would work better? Maybe specifying operations and their inverses in its own base-database (e.g derivative being the inverse of integral (noting that constants can be lost)?

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Hello to all!
This is not some serious issue
I noticed that you are working on sort of similar\or better say complimentary (and very cool) projects, and took the liberty of informing you of this
Fungrim: the Mathematical Functions Grimoire
https://github.com/fredrik-johansson/fungrim
I left the mirror message in another repository
Sorry to bother you and thank you for your attention!