Before, you have already written Python code that determines the next step based on the previous step. Now it's time to put this code inside a for loop so that we can simulate a random walk.

numpy has been imported as np$.$

Instructions

$100$ XP

Make a list random$\_$walk that contains the first step, which is the integer $0.$

Finish the for loop:

The loop should run $100$ times.

On each iteration, set step equal to the last element in the random$\_$walk list. You can use the index $-1$ for this.

Next, let the if$-$elif$-$else construct update step for you.

The code that appends step to random$\_$walk is already coded.