We start the book and this chapter by discussing the contemporary data analytics landscape and how pandas fits into that landscape. pandas is the go-to tool for data scientists for data pre-processing tasks. We will learn about the technicalities of pandas in the later chapters. This chapter covers the context, origin, history, market share, and current standing of pandas.
The chapter has been divided into the following headers:
- Motivation for data analysis
- How Python and pandas can be used for data analysis
- Description of the pandas library
- Benefits of using pandas
