Fill data in one data frame using values from other data frame : Python

Question

I have two data frames and I need to append data from df2 to df1 using 'ID' column. df1 has duplicates on same ID whereas df2 has ID as primary key. I need to add data from df2 to df1 such that :

df1 :

|Index|   ID|Last Updated|
|    0|   A1|   1.10.2022|
|    1|   A2|   12.11.2022|
|    2|   A3|   3.12.2022|
|    3|   C1|   4.12.2022|
|    4|   C1|   19.12.2022|

df2 :

|Index|   ID|    Title |
|    0|   A1|   system1|
|    1|   A2|   system2|
|    2|   A3|   system3|
|    3|   C1|   system4|

expected output (df3):

|Index|   ID|Last Updated|    Title |
|    0|   A1|   1.10.2022|   system1|
|    1|   A2|   12.11.2022|   system2|
|    2|   A3|   3.12.2022|   system3|
|    3|   C1|   4.12.2022|   system4|
|    4|   C1|   19.12.2022|   system4|

I tried a brute approach to solve this:

for idx, data in df1.iterrows():
    temp = df2[df2['id'] == data['id']]
    column_list = temp.columns.to_list()
    for column in column_list:
        df1.at[idx, column] = temp.iloc[0][column]

I want to understand if there is any direct/better approach to do this?