Mathematics isn't just about numbers; it's a profound way to explore and represent patterns that resonate with beauty. Recently, I stumbled upon a fascinating way to blend mathematical equations with graphical representation using Python. Let me introduce you to two gorgeous 3D visualizations, both rooted in a simple yet intricate equation. import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # Parameters n = 800 A = 1.995653 B = 1.27689 C = 8 petalNum = 3.6 # Create grid r = np.linspace ( 0 , 1 , n ) theta = np.linspace ( -2 , 20 * np.pi , n ) R , THETA = np.meshgrid ( r , theta ) # Calculate coordinates x = 1 - ( 1 / 2 ) * (( 5 / 4 ) * ( 1 - np.mod ( petalNum * THETA , 2 * np.pi ) / np.pi ) ** 2 - 1 / 4 ) ** 2 phi = ( np.pi/ 2 ) * np.exp ( -THETA / ( C * np.pi )) y = A * ( R** 2 ) * ( B * R - 1 ) ** 2 * np.sin ( phi ) R2 = x * ( R * np.sin ( phi ) + y * np.cos ( phi )) X = R2 * np.sin ( THETA ) Y = R2 * np.cos (...