input: 
  def get_latest_stock_price(stocks: List[str]) -> List[str]:
      """
      Program a web scraper in Python to extract the latest stock prices from specific websites.
      
      Example:
      for get_latest_stock_price(["AAPL stocks", "MSFT stocks", "FB stocks", "GOOG stocks"]) == ['The price of AAPL stocks is 145.09.', 'The price of MSFT stocks is 286.15.', 'The price of FB stocks is 355.65.', 'The price of GOOG stocks is 2767.44.']
      """
  
output:     
      import requests
      from bs4 import BeautifulSoup
  
      def get_stock_price(stock_name):
          url = f"https://finance.yahoo.com/quote/{stock_name.split()[0]}"
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          price = soup.find('fin-streamer', {'data-field': 'regularMarketPrice'}).text
          return f"The price of {stock_name} is {price}."
  
      return [get_stock_price(stock) for stock in stocks]
  