df = pd.DataFrame({
    'Part': [1,1,1,3,3,2,2,2],
    'other': ['a','b','c','d','e','f','g','h']
})

d = df.groupby('Part').apply(lambda d: d.to_dict('records')).to_dict()
print d

{1: [{'Part': 1, 'other': 'a'},
  {'Part': 1, 'other': 'b'},
  {'Part': 1, 'other': 'c'}],
 2: [{'Part': 2, 'other': 'f'},
  {'Part': 2, 'other': 'g'},
  {'Part': 2, 'other': 'h'}],
 3: [{'Part': 3, 'other': 'd'}, {'Part': 3, 'other': 'e'}]}

df = pd.DataFrame({"Part": [1, 1, 2, 2],
                    "Var1": [10, 11, 12, 13],
                    "Var2": [20, 21, 22, 23]})
dfg = df.groupby("Part")

df1 = dfg.get_group(1)
df2 = dfg.get_group(2)

for grp in dfg.groups:
    print(dfg.get_group(grp))
    print()

   Part  Var1  Var2
0     1    10    20
1     1    11    21

   Part  Var1  Var2
2     2    12    22
3     2    13    23