pandas

Pandas was fundamentally created for working with two types of data structures. For one-dimensional data, we have the Series. The most common use of Pandas is the two-dimensional structure, called the DataFrame; think of it as an SQL table or as an Excel spreadsheet.

Although there are other data structures, with these two we can cover more than 90% of the use cases in predictive analytics. In fact, most of the time (and in all the examples of the book) we will work with DataFrames. We will introduce the basic functionality of pandas in the next chapter, not explicitly, but by doing.