Usually a probability distribution over discrete variables is described using a probability mass function (PMF):
When working with continuous random variables, we describe probability distributions using a probability density function (PDF) rather than a probability mass function.
-- Deep Learning by Goodfellow, Bengio, and Courville
However, Wolfram Mathworld is using PDF to describe the probability distribution over discrete variables:
Is this a mistake? or it does not much matter?