Pandas group by a column and add all other in a list

Question

I'm trying to convert this:

"column1", "column2", "column3"
"foo", "val1", 3
"foo", "val2", 0
"foo", "val2", 3
"bar", "other", 99

to this:

"column1", "column2", "column3"
"foo", "val1", [ 3 ]
"foo", "val2", [ 0, 3 ]
"bar", "other", [ 99 ]

It is posible to do it easier with pandas, instead of doing multiple lists? Like `df["result"] = df.groupby["column1", "column2"].to_list()