In this chapter, we examined several fundamental techniques for loading (importing and reading data), combining, grouping, and analyzing stock pricing data with pandas. In the next chapter on time-series data with pandas, we will dive deeper into working with data provided in different time frequencies, converting the periods of data into other frequencies, and working with aggregating data based upon sliding/rolling windows instead of simple calendar months.