data1 = pd.DataFrame({‘dataset_name_1’: [dataset_1]})
data2 = pd.DataFrame({‘dataset_name_2’: [dataset_2]})
data3 = pd.merge(data1.assign(key=1), data2.assign(key=1), on='key') .drop('key', axis=1)

import pandas as pd

data1 = pd.DataFrame({'column_name': [dataset_1]})
data2 = pd.DataFrame({'column_name': [dataset_2]})

data3 = pd.merge(data1.assign(key=1), data2.assign(key=1),
                 on='key').drop('key', axis=1)

print(data3)

# Python program to get Cartesian
# product of huge dataset
  
# Import the library Pandas
import pandas as pd
  
# Obtaining the dataset 1
data1 = pd.DataFrame({'P': [1,3,5]})
  
# Obtaining the dataset 2
data2 = pd.DataFrame({'Q': [2,4,6]})
  
# Doing cartesian product of datasets 1 and 2 
data3 = pd.merge(data1.assign(key=1), data2.assign(key=1), 
                 on='key').drop('key', axis=1)
  
# Printing the cartesian product of both datasets
print(data3)

   P  Q
0  1  2
1  1  4
2  1  6
3  3  2
4  3  4
5  3  6
6  5  2
7  5  4
8  5  6