diff --git a/README.md b/README.md
index 5b87663..03fb34a 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 ![image](https://github.com/guenchi/numpy/blob/gh-pages/img/NumPy.jpeg)
 
-### and it's faster than the Native NumPy of Python
+### and it's faster than the Native NumPy of Python-best example
 
 
 ```
@@ -25,8 +25,26 @@
 (0.01745240643728351 0.03489949670250097 0.05233595624294383 0.0697564737441253
  0.08715574274765817 0.10452846326765346 0.12186934340514748 0.13917310096006544)
 ```
+#Example 2
+# compare NumPy and native arrays
+```
+import numpy as np
+import time
 
+length = 10
+native_lst = [i for i in range(length)]
 
+numpy_lst = np.array(native_lst)
+```
+# find the speed difference
+# use theperf_counter_ns() function instead of time() 
+#  As I want the highest possible accuracy
+```
+
+time1 = time.perf_counter_ns()
+time2 = time.perf_counter_ns()
+print = time2 - time1
+```
 ### Depencies:
 
 https://guenchi.github.io/Darkart
@@ -45,4 +63,4 @@ https://guenchi.github.io/SymPy
 
 https://guenchi.github.io/Matplotlib
 
-https://guenchi.github.io/Pandas
\ No newline at end of file
+https://guenchi.github.io/Pandas