Summary

This chapter gave you a brief introduction to the branch of mathematics regarding probability theory.

We defined the concept of probability, as well as some of its most important rules and associated concepts such as experiment, sample space, and events. We also defined the very important concept of random variables and provided examples of the two main discrete and continuous random variables. Later in this chapter, we learned how to create random variables using the scipy.stats module, which we also used to generate the probability mass function and the probability density function. We also talked about two of the most important random variables in the (literal) universe: the normal distribution and the binomial distribution. These are used in many applied fields to solve real-world problems.

This was, of course, a brief introduction to the topic, and the goal was to present and make you familiar with some of the basic and foundational concepts in probability theory...