<｜begin▁of▁sentence｜>### Instruction:
Imagine you're tending to your digital greenhouse, the Petersen graph, a fascinating specimen in the graph theory world you've cultivated using the NetworkX toolkit. Your botanical endeavor now calls for an aesthetically pleasing display of this structure. You desire to showcase the intricate symmetries and connections of this graph plant with the utmost clarity to your fellow horticultural enthusiasts. To achieve this, you're pondering over how one might employ the 'dot' layout algorithm, an offering from the Graphviz gardening toolkit, to artfully place the nodes of your Petersen graph in a pleasing arrangement. Once you have orchestrated this layout, you wish to create a visual representation using matplotlib, akin to a detailed plant diagram, for all to admire. How might one go about transplanting the abstract structure of the Petersen graph into this visual layout using the Graphviz 'dot' method and present it with the finesse of a botanical illustration?
### Response:
import networkx as nx
import matplotlib.pyplot as plt

# Create a NetworkX graph
G = nx.petersen_graph()

# Generate layout positions using the Graphviz 'dot' algorithm
pos = nx.nx_agraph.graphviz_layout(G, prog='dot')

# Draw the graph using the layout positions
nx.draw(G, pos, with_labels=True, node_size=500)

# Show the graph
plt.show()
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