In this chapter, you learned how to perform numerical and statistical analyses on pandas objects. This included examination of many commonly used methods that will be used in calculating values and performing various analyses. We started with basic arithmetical operations and how data alignment factors into the operation and results. Then we covered many of the statistical operations provided in pandas, ranging from descriptive statistics to discretization through to rolling windows and random sampling. These lessons will set you up well for performing many real-world data analyses.
In the next chapter, we will change gears and look into how to load data from various data sources such as local files, databases, and remote web services.
