<｜begin▁of▁sentence｜>### Instruction:
Imagine you're creating a bespoke travel itinerary for a group of adventurers eager to visit a series of exotic destinations, connected by various transport links. Your journey starts at Destination 1 and includes an exciting trail through Destination 2 and 3, leading to the tranquil retreat of Destination 4, and finally culminating at the picturesque panorama of Destination 5.

In order to ensure that the vacation experience is seamless, could you elucidate on the number of alternative routes available to traverse from the initial point, Destination 1, to the final landmark, Destination 5, keeping in mind that the adventurers should always have a backup path in case one leg of their journey faces any unexpected interruptions? This information will be pivotal to guarantee that their leisure odyssey remains uninterrupted. The travel paths currently known are represented as connections between destinations: [(1, 2), (1, 3), (2, 3), (3, 4), (4, 5)].
### Response:
import networkx as nx
from networkx.algorithms.connectivity import local_node_connectivity

# Create an undirected graph
G = nx.Graph()
# Add edges
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5)])

# Calculate local node connectivity between nodes 1 and 5
connectivity = local_node_connectivity(G, 1, 5)

print(f'Local node connectivity between nodes 1 and 5: {connectivity}')
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