so we can create uniform distribution by using the numpy sboepnvojgpsn function the preceding code saysi want uniformly distributed random set of values that ranges between and and want of them if then create histogram of those valuesyou can see it looks like the following there' pretty much an equal chance of any given value or range of values occurring within that data sounlike the normal distributionwhere we saw concentration of values near the meana uniform distribution has equal probability across any given value within the range that you define so what would the probability distribution function of this look likewelli' expect to see basically nothing outside of the range of - or beyond but when ' between - and would see flat line because there' constant probability of any one of those ranges of values occurring so in uniform distribution you would see flat line on the probability distribution function because there is basically constant probability every valueevery range of values has an equal chance of appearing as any other value normal or gaussian distribution now we've seen normalalso known as gaussiandistribution functions already in this book you can actually visualize those in python there is function called qeg (probability density functionin the tdjqztubutopsn package function