In this chapter, we installed the Anaconda Scientific version of Python. This also installs pandas and Jupyter Notebook, setting you right up with an environment for performing data manipulation and analysis, along with creating notebooks to visualize, present, and share your analyses.
We also took an introductory look at the pandas Series and DataFrame objects, demonstrating some of the fundamental capabilities. This exposition showed you how to perform a few basic operations that you can use to get up and running with pandas prior to diving in and learning all the details.
In the next several chapters, we will dive deep into the operations of the Series and DataFrame, with the next chapter focusing specifically on the Series.