In this chapter we have taken a quick tour of the capabilities of pandas, and how easily you can use it to create, load, manipulate, and visualize data. Through the remainder of this book, we will dive into everything covered in this chapter in significant detail, fully demonstrating how to utilize the facilities of pandas for powerful data manipulation.

In the next chapter, we will look at how to get and install both Python and pandas. Following the installation, in Chapter 3, NumPy for pandas, we will dive into the NumPy framework as it applies to pandas, demonstrating how NumPy provides the core functionality to slice and dice array-based data in array-like manner, as the pandas Series and DataFrame objects extensively leverage the capabilities of NumPy.