Pandas is the most widely used Python library for data analysis. It introduces two key objects:

Series

A single column of data.

DataFrame

A table of rows and columns.

Example:

import pandas as pd

data = {
    "Name": ["Alice", "Bob"],
    "Age": [25, 30]
}

df = pd.DataFrame(data)

DataFrames allow analysts to:

• Filter data
• Sort values
• Perform calculations
• Identify trends

Pandas forms the backbone of most data science workflows.