python beautifulsoup requests

import requests
from bs4 import BeautifulSoup
 
base_url = 'http://www.nytimes.com'
r = requests.get(base_url)
soup = BeautifulSoup(r.text)
 
for story_heading in soup.find_all(class_="story-heading"): 
    if story_heading.a: 
        print(story_heading.a.text.replace("\n", " ").strip())
    else: 
        print(story_heading.contents[0].strip())

import bs4 as bs
import urllib.request

source = urllib.request.urlopen('https://pythonprogramming.net/parsememcparseface/').read()