Q) By Using Python, When the following code is executed, all data of the MNIST numeric image is converted into vectors to create a single NumPy matrix X, Use this matrix to solve the following problem:

from sklearn.datasets import load_digits

X=load_digits().data

1) Find the similarity between the first image and the tenth image using dot product.

2) Find the similarity for a combination of all images using the dot product, how would it be efficient to implement it (hint: using matrices and multiplication of matrices)