title: How to generate a distribution with a given mean, variance, skew and kurtosis in Python?
body: <blockquote>
    <p>random.gauss(mu, sigma)</p>
  </blockquote>
  
  <p>Above is a function allowing to randomly draw a number from a normal distribution with a given mean and variance. But how can we draw values from a normal distribution defined by more than only the two first moments?</p>
  
  <p>something like:</p>
  
  <blockquote>
    <p>random.gauss(mu, sigma, skew, kurtosis)</p>
  </blockquote>