old_contents: import data_loader
  import descriptives
  import network as module_network
  import timeline as module_timeline
  import wordclouds as module_wordclouds
  
  from IPython.core.display import display, HTML, Javascript
  
  import os
  import re
  import json
  
  import codecs
  from string import Template
  
  __sources = dir( data_loader )
  __sources = filter( lambda x: x.startswith('load_') , __sources )
  __sources = map( lambda x: x[5:], __sources )
  
  def set_data_path( path ):
      data_loader.__DATA_DIR = path
  
      ## when data path is set, automatically print out the versions
      for folder in os.listdir( path ):
          if( os.path.isdir( path + folder ) ):
              data_loader._version( folder )
  
      ## TOTALLY UNRELATED BUT LETS USE THIS TO INIT THE D3JS TOO
      ## check if there is any way to not use exernal cloud d3js
      ## import os
      ## path = os.path.dirname(os.path.abspath(__file__))
      ## return Javascript( open( path + '/js/d3/d3.js' ).read() )
      return HTML('<p><script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.js"></script>Data science OK!</p>')
  
  def data_path():
      return data_loader.__DATA_DIR
  
  def data_sources():
      return __sources
  
  def data( type, **kwargs ):
  
      if type not in __sources:
          raise NameError('Unknown media type')
  
      load = getattr( data_loader, 'load_' + type )
  
      return load( **kwargs )
  
  def filter_from_text( data, text = [], substrings = True ):
      filtered_data = []
  
      for d in data:
          if substrings:
              if all( string.lower() in d['text_content'].lower() for string in text ):
                  filtered_data.append( d )
          else:
              words = re.findall(r'\w+', d['text_content'].lower(), re.UNICODE)
              if all( string.lower() in words for string in text ):
                  filtered_data.append( d )
  
      return filtered_data
  
  def describe( data ):
      return HTML( descriptives.describe( data ) )
  
  def timeline( **kwargs ):
      return HTML( module_timeline.create_timeline( **kwargs ) )
  
  def network( data ):
      return HTML( module_network.create_network(data) )
  
  def wordcloud( data ):
      module_wordclouds.create_wordcloud( data )
  
new_contents: import data_loader
  import descriptives
  from network import module_network
  from timeline import module_timeline
  import wordclouds as module_wordclouds
  
  from IPython.core.display import display, HTML, Javascript
  
  import os
  import re
  import json
  
  import codecs
  from string import Template
  
  __sources = dir( data_loader )
  __sources = filter( lambda x: x.startswith('load_') , __sources )
  __sources = map( lambda x: x[5:], __sources )
  
  def set_data_path( path ):
      data_loader.__DATA_DIR = path
  
      ## when data path is set, automatically print out the versions
      for folder in os.listdir( path ):
          if( os.path.isdir( path + folder ) ):
              data_loader._version( folder )
  
      ## TOTALLY UNRELATED BUT LETS USE THIS TO INIT THE D3JS TOO
      ## check if there is any way to not use exernal cloud d3js
      ## import os
      ## path = os.path.dirname(os.path.abspath(__file__))
      ## return Javascript( open( path + '/js/d3/d3.js' ).read() )
      return HTML('<p><script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.js"></script>Data science OK!</p>')
  
  def data_path():
      return data_loader.__DATA_DIR
  
  def data_sources():
      return __sources
  
  def data( type, **kwargs ):
  
      if type not in __sources:
          raise NameError('Unknown media type')
  
      load = getattr( data_loader, 'load_' + type )
  
      return load( **kwargs )
  
  def filter_from_text( data, text = [], substrings = True ):
      filtered_data = []
  
      for d in data:
          if substrings:
              if all( string.lower() in d['text_content'].lower() for string in text ):
                  filtered_data.append( d )
          else:
              words = re.findall(r'\w+', d['text_content'].lower(), re.UNICODE)
              if all( string.lower() in words for string in text ):
                  filtered_data.append( d )
  
      return filtered_data
  
  def describe( data ):
      return HTML( descriptives.describe( data ) )
  
  def timeline( **kwargs ):
      return HTML( module_timeline.create_timeline( **kwargs ) )
  
  def network( data ):
      return HTML( module_network.create_network(data) )
  
  def wordcloud( data ):
      module_wordclouds.create_wordcloud( data )
  
subject: Fix module imports