python
import requests
response = requests.get("https://www.example.com")
print(response.text)
python
import numpy as np
array = np.array([1, 2, 3, 4, 5])
print(array.mean())
python
import pandas as pd
data = pd.read_csv("data.csv")
print(data.head())
python
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [5, 4, 3, 2, 1]
plt.plot(x, y)
plt.show()
python
from sklearn import datasets
from sklearn.linear_model import LogisticRegression
iris = datasets.load_iris()
X, y = iris.data, iris.target
model = LogisticRegression()
model.fit(X, y)
pip install requests
