<｜begin▁of▁sentence｜>### Instruction:
Imagine we are coordinating a project to map out a new walking trail represented by a straight path connecting five key checkpoints labeled from 0 to 4. To organize a robust itinerary for our exploratory team, we are keen on utilizing NetworkX, a tool within our digital toolbox, to simulate the trail's checkpoints and the journey between them. Specifically, we intend to chart out a sequence of movements from our starting point, checkpoint 0, employing a methodical approach reminiscent of a depth-first search. Could you draft a plan using NetworkX that would enable us to chronicle the connections between the checkpoints in the order our team would encounter them on their initial reconnaissance? This actionable information will be pivotal in structuring the expedition's activities and ensuring every segment of the path is thoroughly assessed.
### Response:
import networkx as nx

# Create a graph
G = nx.path_graph(5)

# Get a list of edges in a depth-first search starting from node 0
edges_from_dfs = list(nx.dfs_edges(G, source=0))

print('Edges from depth-first search:', edges_from_dfs)
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