pandas (short for "Python data analysis") is a library in Python that is used for data manipulation and analysis. It provides data structures and data manipulation tools specifically designed for working with structured data, such as spreadsheets or SQL tables.
The two main data structures in pandas are the Series and DataFrame. A Series is a one-dimensional array-like object that can hold any data type, similar to a column in a spreadsheet. A DataFrame is a two-dimensional table of data with rows and columns, similar to a spreadsheet or SQL table.
Pandas also provides powerful tools for data manipulation, such as merging, grouping, and filtering data. It also has built-in support for handling missing or null data. Additionally, it has powerful data analysis and visualization functions that can be used for exploratory data analysis and creating various types of plots and charts.
Pandas is a widely used library in data science and machine learning, it is easy to learn and use and its functionality is rich.