How to split up a column to 2 columns with the values of a different column?

Question

I have a dataframe df with:

df = pd.DataFrame(
    {
        "place": [2, 2, 2, 2, 2, 2],
        "date": [
            "2021-02-28",
            "2021-02-28",
            "2021-03-31",
            "2021-03-31",
            "2021-04-30",
            "2021-04-30",
        ],
        "special_handling": [1, 0, 1, 0, 1, 0],
        "count": [100, 200, 500, 600, 300, 400],
    }
)

place	date	special_handling	count
2	2021-02-28	1	100
2	2021-02-28	0	200
2	2021-03-31	1	500
2	2021-03-31	0	600
3	2021-04-30	1	300
3	2021-04-30	0	400

I would like to transform the column "special_handling" into 2 separate columns to reduce the number of rows for a better overview per place/date

place	date	special_handling_0	special_handling_1
2	2021-02-28	200	100
2	2021-03-31	600	500
3	2021-04-30	400	300

How can I do this in pandas?

And does this sort of transformation have a special name? I didn't know what to search for.