One of the best way can be

df.drop('<Column_Name'>, axis=1, inplace=True)

Explanation:-

drop function in pandas only deletes the value from that instance not permanently as your inplace bydefault is set to False so you need to set it to true.

Next about the axis=1, so when your pandas reads the data it can't find anything by your column name in the axis=0 (which is set bydefalut) think it in this way that it reads data row by row and there is nothing in row 0 and the column names start form row 1 so that's why we need to pass axis as axis=1 so that your column name could be read