https://medium.com/kitepython/pandas-tutorial-da4dd84edd00

Introduction to PandasAbout the DataSetupLoading DataBasic OperationsThe DtypeCleansing and Transforming DataPerforming Basic OperationsCalculationsBooleansGroupingPlotting9. Exporting Transformed Data

So, what is Pandas — practically speaking? In short, it’s the major data analysis library for Python. For scientists, students, and professional developers alike, Pandas represents a central reason for any learning or interaction with Python, as opposed to a statistics-specific language like R, or a proprietary academic package like SPSS or Matlab. (Fun fact — Pandas is named after the term Panel Data, and was originally created for the analysis of financial data tables). I like to think that the final “s” stands for Series or Statistics.