Hello everyone,

Be nice to my English, because i’m French

I am in the exercise 11 of Differential Calculus Limit Definition of the Derivative Exploration and i don’t understand the use of np.gradient().

Exercise 11 :

Congrats! That concludes our exploration into the limit definition of the derivative using Python. We have approximated derivatives at a point and whole derivative functions using the limit definition. If you would like to continue your exploration, here are some ideas:

- Modify
`plot_approx_deriv()`

so it uses`np.gradient()`

.- Create your own functions and investigate them through plotting and calculating derivatives.
- Change the
`h_vals`

and/or`x_vals`

to look at a different range or values.- Compare our method of
`plot_approx_deriv()`

to plotting using`np.gradient()`

i have used:

`derivative_values.append(np.gradient(f, x, h))`

Instead of:

`derivative_values.append(limit_derivative(f, x, h))`

But it’s not running and i don’t understand

I hope I explained it well

Thanks in advance