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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 idsKEGG(organism):
 """ Uses KEGG to retrieve all ids for a given KEGG organism :param organism: an organism as listed in organismsKEGG() :returns: a Pandas dataframe of with 'gene_name' and 'KEGGid'. """

    ORG=urlopen("http://rest.kegg.jp/list/"+organism).read()
    ORG=ORG.split("\n")
    final=[]
    for k in ORG:
        final.append(k.split("\t"))
    df=pd.DataFrame(final[0:len(final)-1])[[0,1]]
    df.columns=['KEGGid','description']
    field = pd.DataFrame(df['description'].str.split(';',1).tolist())[0]
    field = pd.DataFrame(field)
    df = pd.concat([df[['KEGGid']],field],axis=1)
    df.columns=['KEGGid','gene_name']
    df=df[['gene_name','KEGGid']]
    return df