In this chapter, we covered the objects of pandas, Series and DataFrame, which are specialized containers for data-oriented computations. We discussed how to create, access, and modify these objects, including advanced indexing and slicing operations. We also considered the computational and graphical capabilities offered by pandas. We then discussed how these capabilities can be leveraged to work with a realistic dataset.

In the next chapter, we will learn how to use SciPy to solve advanced mathematical problems of modeling, science, and engineering.