<｜begin▁of▁sentence｜>### Instruction:
Imagine we're working on a sophisticated construction blueprint, and part of our task is to design the flow of pedestrian traffic within a complex structure. We have a digital file, 'example.adjlist', which delineates the movement pathways as an adjacency list—a format that outlines how different junctions (nodes) connect (edges) specifically for directing movements. Our goal is to emulate these movement pathways within our AutoCAD-designed model.

Can you elucidate how we might import this 'example.adjlist' file into a NetworkX directed graph within our Python environment, thus allowing us to visualize the connections (edges) between the various intersections (nodes) of our architectural design? This step is essential before we proceed to the integration of these aspects into our technical blueprint.
### Response:
import networkx as nx

# Use read_adjlist to read the graph from 'example.adjlist'
G = nx.read_adjlist('example.adjlist', nodetype=int, create_using=nx.DiGraph)

# Print out the edges in the graph
print(list(G.edges()))
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