in the above codewe use the sboepnopsnbm function of the numpy packageand the first parameter nvrepresents the mean that you want to center the data around tjhnb is the standard deviation of that datawhich is basically the spread of it thenwe specify the number of data points that we want using normal probability distribution functionwhich is here so that' way to use probability distribution functionin this case the normal distribution functionto generate set of random data we can then plot thatusing histogram broken into buckets and show it the following output is what we end up withit does look more or less like normal distributionbut since there is random elementit' not going to be perfect curve we're talking about probabilitiesthere are some odds of things not quite being what they should be the exponential probability distribution or power law another distribution function you see pretty often is the exponential probability distribution functionwhere things fall off in an exponential manner when you talk about an exponential fall offyou expect to see curvewhere it' very likely for something to happennear zerobut thenas you get farther away from itit drops off very quickly there' lot of things in nature that behave in this manner