Thanks... This works great.
import mygene
mg = mygene.MyGeneInfo()
ens = ['ENSG00000148795', 'ENSG00000165359', 'ENSG00000150676']
ginfo = mg.querymany(ens, scopes='ensembl.gene')
for g in ginfo:
for k, v in g.iteritems():
print "- {0: <10}: {1}".format(k, v)
print
### OUTPUT ###
- name : cytochrome P450 family 17 subfamily A member 1
- symbol : CYP17A1
- taxid : 9606
- entrezgene: 1586
- query : ENSG00000148795
- _id : 1586
- name : integrator complex subunit 6 like
- symbol : INTS6L
- taxid : 9606
- entrezgene: 203522
- query : ENSG00000165359
- _id : 203522
- name : coiled-coil domain containing 83
- symbol : CCDC83
- taxid : 9606
- entrezgene: 220047
- query : ENSG00000150676
- _id : 220047