How to use python symbols to calculate the Jacobi matrix?

import sympy
x em sympy.sin (f)
z=r*sympy.sin (l)
how to find the Jacobian matrix?
xpenr sympy.cos (l) sympy.cos (f)
ypenr sympy.cos (l) sympy.sin (f)
z=r*sympy.sin (l)
?
J =
[cos (l) cos (f),-r sin (l) cos (f),-r cos (l) * sin (f)]
[cos (l) sin (f),-r sin (l) sin (f), r cos (l) * cos (f)]
[sin (l), r*cos (l), 0]

Resources:
MATLAB jacobian is a function used to calculate the Jacobi matrix.
syms r l f
Xampr cos (l) cos (f);
yardr cos (l) sin (f);
z=r*sin (l);
J=jacobian ([x Ting Yitz], [r l f])

Matlab python
Jun.10,2021 
funcs = sympy.Matrix([x, y, z])
args = sympy.Matrix([r, l, f])
res = funcs.jacobian(args)

output 

Matrix([
[cos(f)*cos(l), -r*sin(l)*cos(f), -r*sin(f)*cos(l)],
[sin(f)*cos(l), -r*sin(f)*sin(l),  r*cos(f)*cos(l)],
[       sin(l),         r*cos(l),                0]])

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