diff --git a/examples/minimal.py b/examples/minimal.py
index 48cf840107..d4c55e4774 100644
--- a/examples/minimal.py
+++ b/examples/minimal.py
@@ -1,40 +1,11 @@
 import highspy
-import time
-import networkx as nx
-from random import randint
 
 h = highspy.Highs()
 
-(x1, x2) = h.addVariables(2, lb = -h.inf)
+x1 = h.addVariable(lb = -h.inf)
+x2 = h.addVariable(lb = -h.inf)
 
 h.addConstrs(x2 - x1 >= 2, 
              x1 + x2 >= 0)
 
 h.minimize(x2)
-
-
-
-h = highspy.Highs()
-
-
-G = nx.circular_ladder_graph(5).to_directed()
-nx.set_edge_attributes(G, {e: {'weight': randint(1, 9)} for e in G.edges})
-
-d = h.addBinaries(G.edges, obj=nx.get_edge_attributes(G, 'weight'))
-
-h.addConstrs(sum(d[e] for e in G.in_edges(i)) - sum(d[e] for e in G.out_edges(i)) == 0 for i in G.nodes)
-
-h = highspy.Highs()
-
-ts = time.time()
-perf1 = [h.addBinary() for _ in range(1000000)]
-t1 = time.time() - ts
-print(t1)
-
-h = highspy.Highs()
-
-ts = time.time()
-perf2 = h.addVariables(1000000)
-t2 = time.time() - ts
-print(t2)
-