diff --git a/run_all.py b/run_all.py
new file mode 100755
index 0000000..dae9bf1
--- /dev/null
+++ b/run_all.py
@@ -0,0 +1,93 @@
+#!/usr/bin/env python
+
+import sys
+import turtle
+import lindenmayer
+import graph
+import ant_colony
+import path
+import uberplot
+import matplotlib.pyplot as plot
+
+depth = 1
+if len(sys.argv) > 1:
+    depth = int( sys.argv[1] )
+print "depth",depth
+
+print "Draw the penrose tesselation"
+
+segment_size = 10
+float_rounding = 10
+
+ttl = turtle.Turtle()
+ttl.speed('fastest')
+penrose = lindenmayer.DumpTurtleLSystem(ttl, 
+        axiom="[X]++[X]++[X]++[X]++[X]", 
+        rules={
+            'F': "",
+            'W': "YF++ZF----XF[-YF----WF]++",
+            'X': "+YF--ZF[---WF--XF]+",
+            'Y': "-WF++XF[+++YF++ZF]-",
+            'Z': "--YF++++WF[+ZF++++XF]--XF"
+        }, 
+        angle=36, heading=0, size=segment_size, rounding=float_rounding )
+
+# actually do something
+penrose.draw( depth )
+print "segments",len(penrose.segments)
+with open("penrose_%i.segments" % depth, "w") as fd:
+    fd.write( str(penrose) )
+
+print "Convert the segment list into an adjacency list graph"
+G = graph.graph( penrose.segments )
+
+
+print "Solve the TSP with an Ant Colony Algorithm"
+
+max_it = 10
+num_ants = 10 #* depth
+decay = 0.1
+w_heur = 2.5
+w_local_phero = 0.1
+c_greed = 0.9
+w_history = 1.0
+
+best,phero = ant_colony.search( G, max_it, num_ants, decay, w_heur, w_local_phero, w_history, c_greed, cost_func = ant_colony.graph_distance )
+
+print "Transform the resulting nodes permutation into a path on the graph"
+# by finding the shortest path between two cities.
+traj = []
+for start,end in ant_colony.tour(best["permutation"]):
+    p,c = path.astar( G, start, end )
+    traj += p
+print "traj",len(traj)
+
+print "Plot the resulting tour"
+fig = plot.figure()
+ax = fig.add_subplot(111)
+
+maxph=0
+for i in phero:
+    maxph = max( maxph, max(phero[i].values()))
+
+# ant colony
+# pheromones
+for i in phero:
+    for j in phero[i]:
+        if i == j:
+            continue
+        nph = phero[i][j]/maxph
+        seg = [(i,j)]
+        # print nph,seg
+        uberplot.plot_segments( ax, seg, edgecolor="red", alpha=0.03*nph, linewidth=7*nph )
+        # uberplot.scatter_segments( ax, seg, color="red", alpha=0.5, linewidth=nph )
+
+# tour
+uberplot.plot_segments( ax, ant_colony.tour(traj), color="green",  alpha=0.9, linewidth=4 )
+
+# tesselation
+uberplot.plot_segments( ax, penrose.segments, edgecolor="black", alpha=0.9, linewidth=1 )
+uberplot.scatter_segments( ax, penrose.segments,  color="black", alpha=0.9, linewidth=1 )
+
+plot.show()
+