<｜begin▁of▁sentence｜>### Instruction:
Given a graph with edge set and weights 
[(1, 2, 3), (2, 3, 2), (3, 4, 4)], 
compute the eigenvalues of the normalized Laplacian using NetworkX. 
The edge weights should be considered in the computation. If an edge does not have 
the specified weight attribute, a default weight of 1 should be used.
### Response:
import networkx as nx
import numpy as np

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

# Compute the eigenvalues of the normalized Laplacian
eigenvalues = np.round(nx.normalized_laplacian_spectrum(G), 3)

print('Eigenvalues of the normalized Laplacian:', eigenvalues)
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