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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def organismsKEGG():
 """ Lists all organisms present in the KEGG database. :returns: a dataframe containing one organism per row. """

    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