## SymPy.jl

SymPy.jl When functions are linear in parameters, we can decompose a matrix of polynomials into a matrix of coefficients and a matrix of variables. To achieve this, we can use the SymPy package. First we need to ensure that Julia recognizes variables and treats them as symbols. using SymPy x, y = symbols("x, y") Then we can simply invoke thecoeff() method to extract coefficients from the polynomials. p = x + 0....