How to compare two columns from different dataframes and create a new column?

Question

I have two pandas type dataframes:

      import numpy as np
      import pandas as pd

      df1 = pd.DataFrame({'ID_df1': [1,2,3,4],
                          'Name_df1': ['John', 'Alex', 'Alan', 'Marie'],
                          'Cod_job_df1': [10, 20, 30, 40]})

      df2 = pd.DataFrame({'Cod_job_df2': [10, 200, 40],
                          'Info_df2': [55,66,88]})

I need to compare the dataframes job code columns i.e. compare if 'Cod_job_df1' and 'Cod_job_df2' are equal. In case the codes are the same, I would need to create a new column in df1 containing the information from df2. So I made the following code:

       # Creating the new column
       df1['New_column'] = ''

       for i in range(0, len(df1)):
           for j in range(0, len(df2)):

               comparing the code job
               if(df1['Cod_job_df1'].iloc[i] == df2['Cod_job_df2'].iloc[j]):
                     # assigning
                     df1['New_column'].iloc[i] = df2['Info_df2'].iloc[j]

The code is working. But it takes a while to run with larger dataframes. Is there another way to get the same result?

         ID_df1   Name_df1  Cod_job_df1 New_column
           1        John        10        55
           2        Alex        20  
           3        Alan        30  
           4        Marie       40         88