[Baypiggies] PyCon 2007

[Benjamin Sergeant]

Quite interesting, and for those who'd like to go farther on the  
assumption:
'Assuming an infinte number of points the ratio of points may be used  
instead of the areas, so: '

¹ = 4 numberof pointsinside / totalnumberof points

Here is an explanation in french
http://serge.mehl.free.fr/anx/pi_alea.html

Benjamin.


Le 22 fŽvr. 07 ˆ 10:36, Ken Seehart a Žcrit :

> Hello from Texas!
>
> Just finished Faster Python Programs through Optimization and  
> Extensions I tutorial.
>
> Started a little slowly with comparisons of list joins vs  
> sequential string concatenation, etc, while showing how to use  
> time.clock() to compare performance.
>
> Started getting interesting with some real tools, like Numpy.
>
> Most valuable insight for me: look at Psyco.  This has got to be  
> the quickest way to get a performance boost (about 4x in some  
> examples) on Intel processors without any effort.  Two lines of  
> code will often do the trick.
> import psyco
> psyco.full() # converts and binds all of your functions to native code
>
> Also looked at pyrex, a custom language which makes it pretty easy  
> way to rewrite existing python code and wrap existing C/C++ code to  
> be compiled with a C compiler.  Seems easier than boost or swig  
> (except perhaps for large API libraries), and much easier than hand  
> coding C extensions.
>
> # file: mc_pi_pyrex_fast.pyx
> cdef extern from "math.h": #1
> double sqrt(double x) #2
> cdef extern from "stdlib.h": #3
> int rand() #4
> int RAND_MAX #5
> def piPyrex(int n):
> cdef int count_inside, count #6
> cdef float x, y #7
> count_inside = 0
> for count from 0 <= count < n: #8
> x = rand() #9
> y = rand()
> d = sqrt(x*x + y*y) #10
> if d < RAND_MAX: #11
> count_inside = count_inside + 1
> return 4.0 * count_inside / n
>
> Covered ctypes for yet another way to wrap a DLL or shared library.
>
> Compared a variety of tools for relative speed (see the pdf).
>
> - Ken Seehart
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