“pandas” is a popular Python library used for data manipulation and analysis. It provides data structures like DataFrame, which is akin to a spreadsheet or SQL table, and offers functions for efficiently manipulating large datasets.

To install the “pandas” library, you can use the Python package manager “pip,” which stands for “Python Package Installer.” 

Copy code

pip install pandas

Please note that the package landscape is continuously evolving, and newer versions of libraries might have been released since my last update. It’s always a good practice to check the official documentation or the PyPI page for the most up-to-date information on the “pandas” library. You can find the latest information about “pandas” on its PyPI page at https://pypi.org/project/pandas/.