<｜begin▁of▁sentence｜>### Instruction:
As a Career Counselor, I can see how understanding the foundational elements of various mathematical or computer science concepts might bolster an individual's analytical skills, which are highly valued in many career paths. Let's consider the Frucht graph, a construct that could be relevant to a career in network theory or graph analysis. Suppose you're working on a project that aims to illustrate the uniqueness of certain graphs. Could you describe to me the nature of the vertices and connections, what we commonly know as nodes and edges, of the Frucht graph, as created and examined using the NetworkX software package? It's important to understand these details, as they form the very essence of this graph's structure. Additionally, could you outline the principal attributes of the Frucht graph that distinguishes it from other graphs within the same context? If this understanding is translated into a practical exercise or a demonstrable example, it could be quite advantageous for someone who is looking to sharpen their skills or showcase their expertise in this area.
### Response:
import networkx as nx
# Create a Frucht graph
G = nx.frucht_graph()
# Print the nodes and edges of the Frucht graph
print('Nodes:', G.nodes())
print('Edges:', G.edges())
<|EOT|>
