code: def read_table(cls, filepath_or_buffer, *args, **vargs):
          
          # Look for .csv at the end of the path; use "," as a separator if found
          try:
              path = urllib.parse.urlparse(filepath_or_buffer).path
              if 'data8.berkeley.edu' in filepath_or_buffer:
                  raise ValueError('data8.berkeley.edu requires authentication, '
                                   'which is not supported.')
          except AttributeError:
              path = filepath_or_buffer
  
          try:
              if 'sep' not in vargs and path.endswith('.csv'):
                  vargs['sep'] = ','
          except AttributeError:
              pass
          df = pandas.read_table(filepath_or_buffer, *args, **vargs)
          return cls.from_df(df)
docs: Read a table from a file or web address.
  
          filepath_or_buffer -- string or file handle / StringIO; The string
                                could be a URL. Valid URL schemes include http,
                                ftp, s3, and file.