[Python] Pandas list dates to datetime

I am looking to convert a column with dates in a list [D, M, Y] to a datetime column. The below works but there must be a better way?

new_df = pd.DataFrame({'date_parts': [[29, 'August', 2024], [28, 'August', 2024], [27, 'August', 2024]]})
display(new_df)

## Make new columns with dates
new_df = pd.concat([new_df, new_df['date_parts'].apply(pd.Series)], axis=1).rename(columns={0:'D', 1:'M', 2:'Y'})

month_map = {
'January':1,
'February':2,
'March':3,
'April':4,
'May':5,
'June':6,
'July':7,
'August':8,
'September':9,
'October':10,
'November':11,
'December':12
}

## make datetime column
new_df['release_date'] = pd.to_datetime(dict(year=new_df.Y, month=new_df.M.apply(lambda x: month_map[x]), day=new_df.D), format='%d-%B-%Y')
new_df.drop(columns=['D', 'M', 'Y'])


## Input
date_parts
0 [29, August, 2024]
1 [28, August, 2024]
2 [27, August, 2024]

## Output
date_parts release_date
0 [29, August, 2024] 2024-08-29
1 [28, August, 2024] 2024-08-28
2 [27, August, 2024] 2024-08-27

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