title: Convert parsed csv file read as a string automatically to pandas data frame
body: <p>I am trying to get some data from mysportsfeeds.com and it returns me a csv file which is instantly converted to a string in python.</p>
  
  <pre><code>import requests
  import base64
  
  
  username = 'XXXX'
  password = 'XXXX'
  
  
  def send_request(request):
      # Request
  
      try:
          response = requests.get(
          url=request,
          params={
              "fordate": "20170401"
          },
          headers={
              "Authorization": "Basic " + base64.b64encode(username + ":" + password)
          }
      )
      return response.content
  except requests.exceptions.RequestException:
          print('HTTP Request failed')
  
  res_table = send_request('https://www.mysportsfeeds.com/api/feed/pull/nba/2016-2017-regular/daily_game_schedule.csv?fordate=20170407')
  </code></pre>
  
  <p>How can I convert <code>res_table</code> to a <code>pandas</code> <code>dataFrame</code> in the fastest way?</p>
  
  <p>And it looks like: </p>
  
  <pre><code>#Date/Time of Update: (none),#Game ID,#Game Date,#Game Time,#Unplayed,#In Progress,#Completed,#Current Quarter,#Current Quarter Seconds Remaining,#Current Intermission,#Away Team ID,#Away Team Abbr.,#Away Team City,#Away Team Name,#Home Team ID,#Home Team Abbr.,#Home Team City,#Home Team Name,#Location,#Away Score,#Home Score
  ,35119,2017-04-07,7:30PM,true,false,false,,,,91,ATL,Atlanta,Hawks,86,CLE,Cleveland,Cavaliers,Quicken Loans Arena
  ,35120,2017-04-07,7:30PM,true,false,false,,,,92,MIA,Miami,Heat,81,TOR,Toronto,Raptors,Air Canada Centre
  ,35121,2017-04-07,8:00PM,true,false,false,,,,83,NYK,New York,Knicks,107,MEM,Memphis,Grizzlies,FedEx Forum
  ,35122,2017-04-07,8:00PM,true,false,false,,,,88,DET,Detroit,Pistons,109,HOU,Houston,Rockets,Toyota Center
  ,35123,2017-04-07,8:30PM,true,false,false,,,,106,SAS,San Antonio,Spurs,108,DAL,Dallas,Mavericks,American Airlines Center
  ,35124,2017-04-07,9:00PM,true,false,false,,,,110,NOP,New Orleans,Pelicans,99,DEN,Denver,Nuggets,Pepsi Center
  ,35125,2017-04-07,9:00PM,true,false,false,,,,100,MIN,Minnesota,Timberwolves,98,UTA,Utah,Jazz,Vivint Smart Home Arena
  ,35126,2017-04-07,10:00PM,true,false,false,,,,96,OKL,Oklahoma City,Thunder,104,PHX,Phoenix,Suns,Talking Stick Resort Arena
  ,35127,2017-04-07,10:30PM,true,false,false,,,,103,SAC,Sacramento,Kings,105,LAL,Los Angeles,Lakers,Staples Center
  </code></pre>