What tools or libraries for data processing and analysis have you used in your work?

For data processing and analysis in Python, libraries often used include:

• Pandas — for working with tabular data, filtering, aggregation, grouping.
• NumPy — for numerical computations and working with multi-dimensional arrays.
• Matplotlib and Seaborn — for data visualization.
• Scikit-learn — for basic machine learning and data preprocessing.

Example of using Pandas to read a CSV and calculate the mean value:

import pandas as pd

data = pd.read_csv('data.csv')
mean_value = data['column_name'].mean()
print(f"Average value: {mean_value}")