3. Write a function that takes in two vectors and returns their outer product. Again, use a loop or nditer, not inbuilt functions. 4. Verify the previous function by using the numpy inbuilt command np.matmul or the operator In this sequence of problems, we will generate random matrices (2d arrays), and calculate the product by using by both inner and outer product methods and then compare them with the product implemented in numpy. 5. Write a function in numpy that takes two arbitrary shape matrices and calculates the product by the inner product method. Make sure it checks whether their shapes are compatible. 3. Write a function that takes in two vectors and returns their outer product. Again, use a loop or nditer, not inbuilt functions. 4. Verify the previous function by using the numpy inbuilt command np.matmul or the operator In this sequence of problems, we will generate random matrices (2d arrays), and calculate the product by using by both inner and outer product methods and then compare them with the product implemented in numpy. 5. Write a function in numpy that takes two arbitrary shape matrices and calculates the product by the inner product method. Make sure it checks whether their shapes are compatible