Add benchmarks

docs/scenarios/speed.rst

@@ -3,7 +3,28 @@ Speed
 
 CPython, the most commonly used implementation of Python, is slow for CPU bound tasks. `PyPy`_ is fast.
 
-.. todo:: Fill in stub for Speed comparisons
+Using a slightly modified version of `David Beazleys`_ CPU bound test code(added loop for multiple tests), you can see the difference between CPython and PyPy's processing.
+
+.. pypy:: 
+   $ ./pypy -V
+   Python 2.7.1 (7773f8fc4223, Nov 18 2011, 18:47:10)
+   [PyPy 1.7.0 with GCC 4.4.3]
+   $ ./pypy measure2.py
+   0.0683999061584
+   0.0483210086823
+   0.0388588905334
+   0.0440690517426
+   0.0695300102234
+
+.. python::
+   $ ./python -V
+   Python 2.7.1
+   $ ./python measure2.py 
+   1.06774401665
+   1.45412397385
+   1.51485204697
+   1.54693889618
+   1.60109114647
 
 Context
 :::::::
@@ -67,4 +88,5 @@ Multiprocessing
 .. _`The GIL`: http://wiki.python.org/moin/GlobalInterpreterLock
 .. _`guide`: http://www.dabeaz.com/python/UnderstandingGIL.pdf
 .. _`New GIL`: http://www.dabeaz.com/python/NewGIL.pdf
-.. _`Special care`: http://docs.python.org/c-api/init.html#threads
+.. _`Special care`: http://docs.python.org/c-api/init.html#threads
+.. _`David Beazleys`: http://www.dabeaz.com/GIL/gilvis/measure2.py