I have a python library I’ve built on `sympy`

and specifically `sympy.vector`

which does vector calculus computations (divergence, gradient, curl, laplacians, etc) for calculations related to PDEs. Sympy provides methods that build vectorized functions that can evaluate symbolic expressions on `np.ndarray`

objects (for example, evaluating the exact divergence over a 3d array with shape (domain, node, coordinate)).

I see that `Sympy.jl`

allows interaction with Sympy through julia, but is there an analogy to `sympy.vectorize`

which would allow me to evaluate symbolic expressions on Julia arrays?