Python 3 code
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# Mandelbrot mountain landscape generation as a whole
# (Matplotlib Mesh plot)
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import matplotlib.pyplot as plt        # import matplotlib modules
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.figure as fg
from matplotlib import cm    # import color maps module
import numpy as np   # import numpy module

fig = plt.figure()   # set 3D figure environment
ax =  fig.add_subplot(111, projection='3d')
ax.view_init(azim=-120,elev=45)  # set view orientation
ax.dist = 5.0  # set viewpoint distance
ax.set_facecolor([.1,0.0,0.0])  # set ground color

n = 8      # set number of cycles
dx = -0.7     # set initial x parameter shift
dy = 0.0      # set initial y parameter shift
L = 1.5     # set square area side
M = 200   # set side number of pixels

def f(Z):    # def scale damping of the elevation function
    return np.e**(-np.abs(Z))

x = np.linspace(-L+dx,L+dx,M)      # x variable array
y = np.linspace(-L+dy,L+dy,M)       # y variable array
X,Y = np.meshgrid(x,y)     # square area grid
Z = np.zeros(M)       # complex plane starting points area
W = np.zeros((M,M))   # zero matrix of elevation values
C = X + 1j*Y       # complex plane area

for k in range(1,n+1):     # recursion cycle
   ZZ = Z**2 + C
   Z = ZZ
   W =  f(Z)     # smoothed sum moduls

ax.set_xlim(dx-L,dx+L)     # set x axis limits
ax.set_zlim(dy-L,dy+L)     # set y axis limits
ax.set_zlim(-L,2*L)     # set z axis limits
ax.axis("off")    # do not plot axes
ax.plot_surface(X, Y, W, rstride=1, cstride=1, cmap="pink")   # plot surface as a whole
plt.show()   # show plot