python import pandas as pd data = pd.read_csv('data.csv') print(data.head()) filtered_data = data[data['column_name'] > 10] grouped_data = data.groupby('column_name').sum() grouped_data.to_csv('output.csv') python import numpy as np data = np.array([1, 2, 3, 4, 5]) result = data * 2 mean = np.mean(data) max_value = np.max(data) matrix = np.array([[1, 2, 3], [4, 5, 6]]) python import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] plt.plot(x, y) plt.show() data = [10, 20, 15, 25, 30] plt.hist(data, bins=5) plt.show() x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] plt.scatter(x, y) plt.show()