Now that we have understood data analysis, its process, and its installation on different platforms, it's time to learn about NumPy arrays and pandas DataFrames. This chapter acquaints you with the fundamentals of NumPy arrays and pandas DataFrames. By the end of this chapter, you will have a basic understanding of NumPy arrays, and pandas DataFrames and their related functions.
pandas is named after panel data (an econometric term) and Python data analysis and is a popular open-source Python library. We shall learn about basic pandas functionalities, data structures, and operations in this chapter. The official pandas documentation insists on naming the project pandas in all lowercase letters. The other convention the pandas project insists on is the import pandas as pd import statement.
In this chapter, our focus will be on the following topics:
- Understanding...
