Have you used the Pandas library for data processing?

Yes, the Pandas library is widely used for data processing and analysis in Python. It provides convenient data structures — DataFrame and Series — which make it easy to load, filter, aggregate, and transform data.

For example, with Pandas, you can load a CSV file, filter rows based on a condition, and calculate the average value:

import pandas as pd

df = pd.read_csv('data.csv')
filtered = df[df['age'] > 30]
average_salary = filtered['salary'].mean()
print(average_salary)

Pandas also supports working with time series, merging tables, grouping, and much more, making it an indispensable tool for data analysis.