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diff --git a/src/cython/example/persistence_representations_landscapes_on_grid_example.py b/src/cython/example/persistence_representations_landscapes_on_grid_example.py
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+#!/usr/bin/env python
+
+import gudhi
+
+
+"""This file is part of the Gudhi Library. The Gudhi library
+   (Geometric Understanding in Higher Dimensions) is a generic C++
+   library for computational topology.
+
+   Author(s):       Pawel Dlotko
+
+   Copyright (C) 2017 Swansea University
+
+   This program is free software: you can redistribute it and/or modify
+   it under the terms of the GNU General Public License as published by
+   the Free Software Foundation, either version 3 of the License, or
+   (at your option) any later version.
+
+   This program is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+   GNU General Public License for more details.
+
+   You should have received a copy of the GNU General Public License
+   along with this program.  If not, see <http://www.gnu.org/licenses/>.
+"""
+
+__author__ = "Pawel Dlotko"
+__copyright__ = "Copyright (C) 2017 Swansea University"
+__license__ = "GPL v3"
+
+print("#####################################################################")
+print("Persistence representations landscapes on a grid example")
+
+persistence1 = [(1, 2),(6, 8),(0, 4),(3, 8)]
+persistence2 = [(2, 9),(1, 6),(3, 5),(6, 10)]
+
+#create two persistence landscapes based on persistence1 and persistence2:
+l1 = PersistenceLandscapeOnGrid(persistence1, 0, 11, 20)
+l2 = PersistenceLandscapeOnGrid(persistence2, 0, 11, 20)
+
+#This is how to compute integral of landscapes:
+print "Integral of the first landscape : " , l1.compute_integral_of_landscape() 
+print "Integral of the second landscape : " , l2.compute_integral_of_landscape() 
+
+#here are the maxima of the functions:
+print "Maximum of l1 : " , l1.compute_maximum() 
+print "Maximum of l2 : " , l2.compute_maximum() 
+
+#here are the norms of landscapes:
+print "L^1 Norm of l1 : " , l1.compute_norm_of_landscape(1.) 
+print "L^1 Norm of l2 : " , l2.compute_norm_of_landscape(1.) 
+
+#here is the average of landscapes:
+average = PersistenceLandscapeOnGrid();
+average.compute_average(to_average=[l1, l2]);
+
+
+#here is the distance of landscapes:
+print "Distance : " , l1.distance(l2) 
+
+#here is the scalar product of landscapes:
+print "Scalar product : " , l1.compute_scalar_product(l2) 
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+persistence1 = [(1,2),(6,8),(0,4),(3,8)]
+persistence2 = [(2,9),(1,6),(3,5),(6,10)]
+
+
+#create two persistence landscapes based on persistence1 and persistence2:
+l1 = gudhi.PersistenceLandscapes(vector_of_intervals=persistence1, dimension=3)
+l2 = gudhi.PersistenceLandscapes(vector_of_intervals=persistence2)
+
+#This is how to compute integral of landscapes:
+print "Integral of the first landscape : ", l1.compute_integral_of_landscape()
+print "Integral of the second landscape : ", l2.compute_integral_of_landscape()
+
+#here are the maxima of the functions:
+print "Maximum of l1 : ", l1.compute_maximum()
+print "Maximum of l2 : ", l2.compute_maximum()
+
+#here are the norms of landscapes:
+print "L^1 Norm of l1 : ", l1.compute_norm_of_landscape(1.)
+print "L^1 Norm of l2 : ", l2.compute_norm_of_landscape(1.)
+
+#here is the average of landscapes:
+average = gudhi.PersistenceLandscapes()
+average.compute_average(to_average=[l1, l2])
+
+#here is the distance of landscapes:
+print "Distance : ", l1.distance(average,1)
+
+#here is the scalar product of landscapes:
+print "Scalar product : ", l1.compute_scalar_product(l2)