<｜begin▁of▁sentence｜>### Instruction:
Welcome, traveler! As a tour guide, I understand the importance of getting from point A to point B in the most efficient and enjoyable way possible. Just as I guide tourists through historical sites, you might be looking for a way to navigate through simple matrices in Python with the help of the `Matrix` data type provided by igraph.

Imagine you are on a tour of magical lands, each represented by a matrix, and you want to perform some basic operations. 

Let's say you're visiting the Kingdom of Zeroes, a land filled with mysterious empty spaces, and you wish to create a zero-filled matrix to map out your journey through this kingdom. Then, you may want to continue your quest in the Empire of Identity, a realm where every location is exactly where it's meant to be, and you might desire to create an identity matrix to guide your way.

Furthermore, as you continue your adventure, picture yourself at the crossroads where these two lands meet, and you wonder how to add the zero-filled matrix from the Kingdom of Zeroes to the identity matrix from the Empire of Identity.

In this scenario, you'd want to utilize the igraph's Matrix data type and its associated functions to achieve these tasks, just like a traveler using a map to explore and navigate new territories.

By utilizing the provided tools and knowledge of your surroundings, you can ensure a smooth and successful journey through these matrix landscapes.
### Response:
from igraph import Matrix

# Create a 3x3 matrix filled with zeros
m = Matrix.Zero(shape=(3, 3))
print(m)

# Create and print a 3x3 identity matrix
identity_matrix = Matrix.Identity(shape=3)
print(identity_matrix)

# Add two matrices
result_matrix = m + identity_matrix
print(result_matrix)
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