Having trouble implementing the derivative of softMax function.

I'm pretty bad at math but I'm trying to make my own Neural Network and on the output layer I use the softMax function. The problem is that I've looked at most, guides, StackOverflow posts, and GitHub repositories, and I just cannot figure out how to implement it in code.

All m weigh+biases+nodes+acivated nodes are stored in matrices.

(I'm not looking for math explanations, just an implementation on how to get the deltaOutputWeights and Biases)

function neuralnetworks