# Probability Density Function With Python

Part 8 of the series "Probability Theory and Statistics with Python"

The probability density function is a derivative of the distribution function, which characterizes the density with which the values of the random variable are distributed at a given point.

Let’s take a look at the simple example. We have distribution function and we should find the probability of falling in the interval between a and b. This probability is simply area lying under the curve from a to b. In order to find definite integral, we will use a magic function from numerical analysis domain:)

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If we have distribution function only we also can find the probability of falling into the interval.