code: def organismsKEGG():
      
      organisms=urlopen("http://rest.kegg.jp/list/organism").read()
      organisms=organisms.split("\n")
      #for o in organisms:
      #    print o
      #    sys.stdout.flush()
      organisms=[ s.split("\t") for s in organisms ]
      organisms=pd.DataFrame(organisms)
      return organisms
docs: Lists all organisms present in the KEGG database.
  
      :returns: a dataframe containing one organism per row.