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In this applet, you may find numerically the Cumulative Distribution Function of a custom distribution that you build inside the method m(). Try as well some interesting combinations sketched below:

def m():
    # We square a output of a normal distribution to get a Gamma distribution
    return prandom.gauss(0,1)**2
def m():
    if prandom.randint(0,1):
        # Half of the times we sample a value from a uniform distribution
        return prandom.uniform(-1,1)
        # and the othe half, from a normal distribution
        return prandom.gauss(0,2)