input: 
  def scraping_recent_articles(url: str = 'http://example.com/news') -> List[str]:
      """ Creates a web scraper using Python to retrieve the 10 most recent articles
      from a given news website URL.
      >>> scraping_recent_articles('http://example.com/news')
      ['Article 1 content', 'Article 2 content', 'Article 3 content', 'Article 4 content', 'Article 5 content', 'Article 6 content', 'Article 7 content', 'Article 8 content', 'Article 9 content', 'Article 10 content']
      """
  
output:     import requests
      from bs4 import BeautifulSoup
  
      response = requests.get(url)
      soup = BeautifulSoup(response.content, 'html.parser')
  
      articles = []
      for article in soup.find_all('div', class_='article-content')[:10]:
          articles.append(article.text.strip())
  
      return articles