import numpy as np
from scipy.spatial.distance import euclidean
def euclidean_distance(point1, point2):
    return np.sqrt(np.sum((np.array(point1) - np.array(point2))**2))

# 2D example
point_a = (1, 2)
point_b = (4, 6)
distance_2d = euclidean_distance(point_a, point_b)
print(f"2D Euclidean distance: {distance_2d:.2f}")

# 3D example
point_c = (1, 2, 3)
point_d = (4, 6, 8)
distance_3d = euclidean_distance(point_c, point_d)
print(f"3D Euclidean distance: {distance_3d:.2f}")

# Using SciPy for efficiency
distance_scipy = euclidean(point_c, point_d)
print(f"3D Euclidean distance (SciPy): {distance_scipy:.2f}")