<｜begin▁of▁sentence｜>### Instruction:
Class, today we're going to explore an interesting concept in graph theory, a branch of mathematics. We will be using a tool called NetworkX to create a specific type of graph known as the Moebius-Kantor graph. Once we've constructed this graph with the help of the `moebius_kantor_graph` function available in NetworkX, I want you all to investigate and determine the total number of vertices (or nodes) and the total number of links (or edges) that this graph contains. After we've found these numbers, we'll use NetworkX's visualization capabilities to draw the graph, so we can get a better understanding of what the Moebius-Kantor graph looks like. Remember, this is just like what a scientist does when visualizing complex structures or systems—we are going to visualize mathematical structures in order to understand them better.
### Response:
import networkx as nx

# Use the NetworkX function to create the Moebius-Kantor graph
G = nx.moebius_kantor_graph()

# Check the number of nodes and edges in the Moebius-Kantor graph
num_nodes = G.number_of_nodes()
num_edges = G.number_of_edges()
print(f'Number of nodes: {num_nodes}')
print(f'Number of edges: {num_edges}')

# Draw the graph
import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()
<|EOT|>
