Data Science, Machine Learning, Python, Mathematics, Math.
Assign a random cost to the edge w = random.choice(costs) G.add_edge(c1, c2, Weight=w) # Update the lists with the current number of edges and total cost n_edges.append(len(G.edges())) total_cost.append(nx.shortest_path_length(G, 'Faisalabad', 'Multan', weight='Weight')) # Break the loop after