I want to merget 2 CSV files into one CSV and remove all duplicated rows based on a column (second column).

Here is my first CSV file:

    Skufnoo,748702985,-6026769894509215039,ВупÑень пупÑень â¤ï¸â€ðŸ©¹ðŸ’—,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,4,True,False,0
    mAtkmb,5213786988,4161254730445748607,ДаниÑль Блинов,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,False,False,False,0
    sheluvjoseph,1421438213,8544915453690665435,អន សំអុល,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0

Second CSV file:

    cchamnap,748702985,-7259273529368744780,Chim,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0
    chhounkha,765670208,3636141294788837002,Chhuon Sokha,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,False,False,False,0
    CHHORMNIMOL8,5213786988,5104468652588260401,ឌី ណា.,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0
    Chhailin17,1133044248,6931066845789435875,Chhai Lin,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0

Output file (own_updated2.csv) should be:

    Skufnoo,748702985,-6026769894509215039,ВупÑень пупÑень â¤ï¸â€ðŸ©¹ðŸ’—,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,4,True,False,0
    mAtkmb,5213786988,4161254730445748607,ДаниÑль Блинов,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,False,False,False,0
    sheluvjoseph,1421438213,8544915453690665435,អន សំអុល,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0
    chhounkha,765670208,3636141294788837002,Chhuon Sokha,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,False,False,False,0
    Chhailin17,1133044248,6931066845789435875,Chhai Lin,AA2888 ចាក់បាល់និងកាសុីណូអនឡាញ (070645555),1746008070,False,False,5,True,False,0

I have tried the following codes, but they dont work:

    import pandas as pd
    import csv


    df1 = pd.read_csv("own1.csv")
    df2 = pd.read_csv("own2.csv")
    merged = pd.concat([df1,df2])

    with open('own_updated.csv', 'w', newline="", encoding='utf-8') as nf:
        merged.to_csv(nf, index=False)

    with open('own_updated.csv', 'r', encoding="utf8") as in_file, open('own_updated2.csv', 'w', newline="", encoding="utf8") as out_file:
        in_data = csv.reader(in_file, delimiter=',')
        writer=csv.writer(out_file)
        tracks = set()          # Tracking duplicates of the second column's cell

        for row in in_data:
            key = row[1]
            if key not in tracks:
                writer.writerow(row)
                tracks.add(key)

It works well. But the problem is there is an extra file which is not needed own_updated.csv. How can I store all data from merging two CSV file without create a file which is own_updated.csv, i.e. store them in a memory, then process the removal of duplicates based on the second column?