I want to use sympy.lambdify to compute the derivative of various formulas and evaluate them numerically. Here’s a minimal example: import sympy as sp from sympy.utilities.lambdify import lambdify formula = "arcsin(a**x)" formula = sp.sympify(formula.strip(), evaluate=False) d_formula = sp.diff(formula, "x", simplify=False) grad_func = lambdify(["a","x"], d_formula, modules='numpy') res = grad_func(0.5,2) However, when I run this, I get the following error: --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[72], line 5 3 d_formula = sp.diff(formula, "x", simplify=False) 4 grad_func = lambdify(["a","x"], d_formula, modules='numpy') ----> 5 grad_func(0.5,2) File <lambdifygenerated-938>:4, in _lambdifygenerated(a, x) 1 def _lambdifygenerated(a, x): 2 return ( # Not supported in Python with numpy: 3 # Derivative ----> 4 a**x*log(a)*Subs(Derivative(arcsin(_xi_1), _xi_1), xi_1_7206919208181693502, a**x)) NameError: name 'Subs' is not defined I use .doit() to force evaluation of Subs, but it doesn’t seem to work. I also change the differentiation options like simplify=False, but it has no effect. Why does sympy.diff() introduce a Subs expression here and how to avoid it? How can I transform this derivative into a form that lambdify can handle without errors? Any insights or alternative approaches would be greatly appreciated! Continue reading...