Write a function in Python to perform gradient descent method for ridge regression with no intercept. For a starting point, use a vector of all 0's and use a step length parameter. The function should take as input at least 4 arguments: design matrix X, response vector y, starting point (by default a vector of all zeros), value for tunning parameter. Run 1000 iterations and return vector of estimates and the objective function value at the final estimate.