To summarize this chapter, we took a tour of the library hierarchy of pandas in an attempt to illustrate the internal guts of the library. This understanding will be useful for building custom modules from pandas code or improving the functionalities of pandas as an open source contributor. We also touched on the benefits of speeding up our code performance by using a Python extension module.
In the next chapter, we will see how pandas compares to other data analysis tools in terms of various analysis operations.
