Well, you might consider working on the expressions <lef-hend
part>-<right-hand part>. A quick test with Sympy:
Python 3.8.3 (default, May 14 2020, 11:03:12)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> python.el: native completion setup loaded
>>> from sympy import *
>>> p,V,n,R,T=symbols("p,V,n,R,T")
>>> Ex1=p*V-n*R*T
>>> Ex1
-R*T*n + V*p
>>> Ex1/V
(-R*T*n + V*p)/V
>>> solve(Ex1,p)
[R*T*n/V]
But Sympy *has* the Eq operator, which allows you to build, store and use
symbolic equations :
>>> Eq1=Eq(p*V, n*R*T)
>>> Eq1
Eq(V*p, R*T*n)
>>> solve(Eq1,p)
[R*T*n/V]
OTOH, Sage isn't *that* much heavier than Sympy...
HTH,
Le jeudi 21 mai 2020 15:30:42 UTC+2, Jonathan a écrit :
>
> Dear All,
>
> I have a use case where I need something lighter weight than the whole of
> Sagemath. I think SymPy + the ability to handle math on symbolic equations
> as Sagemath does it might be enough. Thus I wanted to see if I could
> extract from Sagemath the code supporting math on symbolic expressions and
> overlay that on SymPy or at least use that as a template. Can somebody
> please point me to the place to start looking in the codebase?
>
> To make sure people understand what I am interested in, here is a simple
> example of the ability I would like to extract:
> >>>eq1 = p*V==n*R*T
> >>>eq1
> p*V=n*R*T
> >>>eq2=eq1/V
> >>>eq2
> p=n*R*T/V
>
> Thanks,
> Jonathan
>
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