python
import pandas as pd
data = pd.read_csv('data.csv')
print(data.head())
filtered_data = data[data['age'] > 30]
average_age = filtered_data['age'].mean()
python
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
arr = arr * 2
arr = arr + 1
mean = np.mean(arr)
python
from sklearn.linear_model import LinearRegression
X = np.array([[1], [2], [3], [4], [5]])
y = np.array([2, 4, 6, 8, 10])
model = LinearRegression()
model.fit(X, y)
prediction = model.predict([[6]])
