python3

Author: lazyprogrammer

numpy_class/python3/dot_for.py

@@ -0,0 +1,33 @@
+# https://deeplearningcourses.com/c/deep-learning-prerequisites-the-numpy-stack-in-python
+# https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python
+
+from __future__ import print_function, division
+from builtins import range
+# Note: you may need to update your version of future
+# sudo pip install -U future
+
+
+import numpy as np
+from datetime import datetime
+
+a = np.random.randn(100)
+b = np.random.randn(100)
+T = 100000
+
+def slow_dot_product(a, b):
+  result = 0
+  for e, f in zip(a, b):
+    result += e*f
+  return result
+
+t0 = datetime.now()
+for t in range(T):
+  slow_dot_product(a, b)
+dt1 = datetime.now() - t0
+
+t0 = datetime.now()
+for t in range(T):
+  a.dot(b)
+dt2 = datetime.now() - t0
+
+print("dt1 / dt2:", dt1.total_seconds() / dt2.total_seconds())