<｜begin▁of▁sentence｜>### Instruction:
Alright team, imagine we're developing a strategy map for visualizing potential matchups in a 4-team tournament bracket. We want this map to be as intuitive as possible, with clear node positions that represent each team in this complete face-off scenario. To do this effectively, we're going to tap into our tactical toolkit and utilize the 'pydot_layout' function within NetworkX. This particular function is ace because it calls upon the 'dot' program from GraphViz, which is the maestro of graph visualization.

So, the game plan is this: How can we choreograph the precise positions of our four competing nodes on the strategy map using the 'pydot_layout' function with 'dot', ensuring our battle grid is both methodical and visually sharp? Keep in mind, this isn't just about brute force placement; it's about calculating positions that make sense for our tactical overview. Let's brainstorm this and figure out a winning formation.
### Response:
import networkx as nx

# Create a complete graph with 4 nodes
G = nx.complete_graph(4)

# Generate positions for the graph nodes using pydot and Graphviz
pos = nx.nx_pydot.pydot_layout(G, prog='dot')

# Print the positions of the nodes
print(pos)
<|EOT|>
