Which term is a Python library specifically used for working with tabular data?

Which term is a Python library specifically used for working with tabular data?

• A. Python
• B. Jupyter Notebook
• C. Pandas
• D. Public Output

Answer: (C)

This question tests recognizing the Python library built for handling tabular data. Pandas is the library designed for this purpose, offering the DataFrame structure that models tables with rows and columns and a rich set of operations for manipulating them. With Pandas you can easily read data from CSVs, Excel files, SQL databases, or JSON, and then filter rows, select or add columns, sort data, handle missing values, and perform powerful aggregations and groupings. It also provides convenient tools for merging and joining datasets, pivoting, and working with time-series data. The other options aren’t specific libraries for tabular data: Python is the language itself, Jupyter Notebook is an interactive environment for running Python code, and Public Output isn’t a data-manipulation library.

This question tests recognizing the Python library built for handling tabular data. Pandas is the library designed for this purpose, offering the DataFrame structure that models tables with rows and columns and a rich set of operations for manipulating them. With Pandas you can easily read data from CSVs, Excel files, SQL databases, or JSON, and then filter rows, select or add columns, sort data, handle missing values, and perform powerful aggregations and groupings. It also provides convenient tools for merging and joining datasets, pivoting, and working with time-series data. The other options aren’t specific libraries for tabular data: Python is the language itself, Jupyter Notebook is an interactive environment for running Python code, and Public Output isn’t a data-manipulation library.