<｜begin▁of▁sentence｜>### Instruction:
Certainly! Suppose we're evaluating a unique property: a plotted development represented by the Petersen Graph, a renowned structure in the field of mathematical properties. Now, our goal is to create a visually appealing blueprint that highlights the individual plots (nodes) while using a presentation style akin to a 'spring layout'. We want to showcase these plots with the following specifications: each plot should be sized at 700 square units for visibility, marked in an attractive 'sky blue' tone to denote availability, and depicted with a sense of transparency — 0.8 opacity, to be precise — which allows for potential overlapping features to be visible.

However, it's crucial when drafting this layout that we ensure none of the plots are trimmed or 'clipped' at the borders of our presentation medium, as this would inaccurately represent our property's boundaries. Could you propose how we might configure our visual blueprint to adhere to these aesthetic guidelines while preserving the integrity of each plot?
### Response:
import matplotlib.pyplot as plt
import networkx as nx

# Create a graph
G = nx.petersen_graph()

# Define positions
pos = nx.spring_layout(G)

# Draw nodes
plt.figure(figsize=(8, 6))
nodes = nx.draw_networkx_nodes(G, pos, node_size=700, node_color='skyblue', alpha=0.8)

# Set margins and show plot
plt.margins(0.1)
plt.show()
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