The book is dedicated to the library for working with these pandas. In addition to basic knowledge of pandas structures, you will receive information on how to work with time series, read statistics, visualize data, etc. Much attention is paid to practice, all the considered capabilities of the library are accompanied by detailed examples. Pandas is a software library in Python for processing and analyzing data. The pandas work with data is built on top of the NumPy library, which is a lower-level tool. Provides special data structures and operations for manipulating numeric tables and time series. The name of the library comes from the econometric term "panel data"