Expectation and variance of a binary random variable

If you start dealing with Generalized linear models (GLMs) you will come across sentences like “Obviously the variance of the binary dependent variable is $\mu(1-\mu)$.” Well, for everybody who does not find it too obvious the following derivation may help in understanding the mathematical reasoning behind GLMs, especially Logit and Probit models.