Please can someone help me with the code Ive tried so hard to try to write a simple PYTHON program of my own for gradient descent of this 2D rosenbrock function but I just cant do it

I would appreciate help sooooo much

Minimisation in 2D Find a local minimum of the Rosenbroke function: h(x, y) 100(y-x')' +(1-x), 0-0 minimise with the method of steepest descent. Starting from xo h(x,-ag, o -ig,), where g.g, are the x and y components of the gradient Vh, to find the next point (ri). Iterate the process until the norm of the gradient falls below 104 a)