The question here asks to make two lists/arrays in python and fill it with 0s initially and then occupy them with the relevant values.

```
import numpy as np
x = []
y = []
for i in range (0,101):
x.append(0)
y.append(0)
xx = np.linspace(1,10,101)
print(xx)
for a in range (len(y)):
for j in xx:
fx = np.log(j)
y[a] = fx
for b in range (len(x)):
for k in xx:
x[b] = k
print(x)
print(" ")
print(y)
```

I used a nested for loop to traverse through the values in the xx list and used the log function and stored the values in a variable and then replace the 0s in the (y)list with the function values over each iteration. Same thing with the x list but just replace the 0s with the value of the variable which is used in the function respectively.

However the output I keep getting is not right and I can’t get what is going wrong within the loops. The output should show the values of x in the first list and the values of f(x) in the second list however it only shows the value of the last x in the range as well as the value of the last f(x) in the range.

### >Solution :

I’m guessing you are supposed to use linspace, and enumerate:

```
import numpy as np
size = 101
x = np.zeros(size)
y = np.zeros(size)
for i, n in enumerate(np.linspace(1,10,size)):
x[i] = n
y[i] = np.log(n)
```