<｜begin▁of▁sentence｜>### Instruction:
Imagine we're looking at a fun map of a playground with pathways connecting different play areas, and we named these areas with letters 'A' through 'G'. The paths between them are like this: A-B, A-C, B-C, C-D, D-E, E-F, and F-G. Now, let's pretend we want to plan a little game for the kiddos. We have two teams: Team Castle with 'A', 'B', and 'C', and Team Ship with 'D', 'E', 'F', and 'G'. 

Could we figure out how easy it is for the kids to move between Team Castle's area and Team Ship's play area by looking at the pathways? We want them to mix and play together well, so knowing this can help us plan better. In our planner's notebook, we use a special tool called NetworkX to understand this, but for now, just imagine it like counting the number of little gates they have to pass through and comparing that with the size of their play areas.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('F', 'G')])

# Define two sets of nodes
S = {'A', 'B', 'C'}
T = {'D', 'E', 'F', 'G'}

# Compute the conductance
cond = nx.conductance(G, S, T)

print('The conductance between set S and set T is:', cond)
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