Python Cosine Similarity Calculation Using NumPy and Scikit-learn

import numpy as np
from sklearn.metrics.pairwise import cosine_similarity

vec1 = np.array([1, 2, 3, 4])
vec2 = np.array([5, 6, 7, 8])

cos_sim = cosine_similarity(vec1.reshape(1, -1), vec2.reshape(1, -1))
print(cos_sim[0][0])

The output of this code is:

0.9688639316269661

This indicates that the cosine similarity between the two vectors is approximately 0.969, suggesting a high degree of similarity between them.