<｜begin▁of▁sentence｜>### Instruction:
Imagine you're at a career workshop, helping students visualize their potential networking connections as they progress through their professional journey. Each student at this workshop represents a node, and we're creating a model where every student is connected to every other student, forming a complete graph. This network symbolizes the full range of possible mentorships and collaborations they'll encounter.

To make this model more engaging, we're going to utilize a tool called NetworkX to create the connections, which represents our workshop participants and their potential links. Once we have our 5-node complete graph ready in NetworkX, our goal is to transform it into a more visually appealing format using a process called 'to_agraph', so the students can better appreciate their interconnected world. 

Once transformed into this PyGraphviz graph, can you illustrate how we may then present this graphic display to the group so they could see the full array of their networking landscape? This visual representation will be a powerful tool to help them understand the extensive reach of their career connections.
### Response:
import networkx as nx
from networkx.drawing.nx_agraph import to_agraph

# Create a NetworkX graph
K5 = nx.complete_graph(5)

# Convert it to a PyGraphviz graph
A = to_agraph(K5)

# You can now use A to perform various operations that PyGraphviz supports.
print(A)
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