<｜begin▁of▁sentence｜>### Instruction:
Imagine you're coordinating a schedule for a team of nurses and each shift must be staffed by someone who has already worked with at least one colleague from the previous shift. You have a chart representing the shifts worked together, with the connections being shifts [(0, 1), (1, 2), (2, 3), (2, 4)]. Can you arrange the shifts in such a manner that respects this requirement, envisioning it as a sequence that could be uncovered by following the depth-first search method as you examine the chart? This would ensure a smooth handover and continuity of care, much like creating a roster where familiarity builds with each subsequent shift.
### Response:
import networkx as nx
from networkx.algorithms.traversal.depth_first_search import strategy_connected_sequential_dfs

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (1, 2), (2, 3), (2, 4)])

# Use the connected sequential DFS strategy to get an iterable
order = list(strategy_connected_sequential_dfs(G))
print('DFS Order:', order)
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