<｜begin▁of▁sentence｜>### Instruction:
Imagine we're considering the abacus beads as intersection points, or nodes, within a network, where each row represents a path connecting these points. We have beads at positions labeled 0, 1, 2, and 10. Picture those rows where beads are connected in the following manner: from position 0 to 1, from 1 to 2, from 0 to 10, and from 10 to 2, forming a structured web of connections.

Now, let's suppose we want to slide our bead from position 0 to position 2, but our goal is to touch as few beads as possible along the way, ensuring the quickest and most efficient path. Could you demonstrate, for the sake of honing our mental arithmetic skills, all the potential shortest routes our bead could take to glide from the bead at position 0 to the bead at position 2 within this network?
### Response:
import networkx as nx

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

# Add paths to the graph
G.add_path([0, 1, 2])
G.add_path([0, 10, 2])

# Compute all shortest paths between source and target
paths = list(nx.all_shortest_paths(G, source=0, target=2))

# Print all shortest paths
for path in paths:
    print(path)
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