Can I plug functions created with lambda x on a list? (python)

I need to build a polynomial function like a_0 + a_1x + a_2x^2 ... I am trying to do the whole interpolation process. I have this:

def Create_F(Numero, Array):
    Y = lambda x: x
    Lista = list(Array)
    F_x = [] 
    for i in range(Numero):
      G_x = lambda x: eval(Lista[i]*Y^i)
      F_x.append(G_x)
    return F_x

And if I use this, I do not get nothing that help:

Number = 2
ma = np.array([[1, 1],
               [1, 2]])
ly = np.array([8, -3])

idk = Create_F(Number, ly)
print(idk)

I don't know how to evaluate, for example 1. If I can do this in a better way it would be very helpful, the complete code is:

import numpy as np

def Matrix_F(Num, Lx):
    Vec = np.zeros((Num, Num), dtype = float)
    Vec.T[1] = Lx
    ex = 0
    for i in range(Num):
        for j in range(Num):
            Vec[j][i]=Lx[j]**ex
        ex += 1
    return Vec

def Cramer_F(Ma, Ly):
    Lc, Det = np.array(Ly), np.linalg.det(Ma)
    col = len(Lc)
    Values = np.zeros(col)
    for i in range(col):
        org = Ma.copy()
        org.T[i]=Lc
        Di=np.linalg.det(org)
        Values[i] = Di/Det
    error = np.linalg.norm(np.dot(Ma, Values)-Lc)
    return Values, error
    

def Create_F(Numero, Array):
    Y = lambda x: x
    Lista = list(Array)
    F_x = [] 
    for i in range(Numero):
      G_x = lambda x: eval(Lista[i]*Y^i)
      F_x.append(G_x)
    return F_x


val = int(input('Ingrese la cantidad de valores de X y Y que posee: '))
x_val = []
y_val = []

print('Ingrese %s valores de cada variable:' %(val))

n = 1
for i in range(val):
    x = float(input('%s° Valor de x: '%(n)))
    y = float(input('%s° Valor de y: '%(n)))
    x_val.append(x)
    y_val.append(y)
    n += 1

#Matriz del sistema:
As = Matrix_F(val, x_val)

#Valores de "a_n" y error
a_val, er = Cramer_F(As, y_val)

n=0
print()
for i in a_val:
    print('a_%s = %.6f' %(n, i))
    n += 1

Thanks you for your time!