On Thu, Jul 19, 2007 at 09:42:42PM -0500, Vincent Nijs wrote:
>I'd luv to hear from people using sqlite, pytables, and cPickle about
>their experiences.
I was about to point you to this discussion:
http://projects.scipy.org/pipermail/scipy-user/2007-April/011724.html
but I see that you pa
Xavier Gnata wrote:
> Xavier Gnata wrote:
>
>> Hi,
>>
>> I'm trying to update numpy by compiling the up to date svn:
>>
>> I get this error :
>> gcc: numpy/linalg/lapack_litemodule.c
>> gcc -pthread -shared
>> build/temp.linux-i686-2.4/numpy/linalg/lapack_litemodule.o
>> -lmkl_lapack32 -lmkl_l
I am interesting in using sqlite (or pytables) to store data for scientific
research. I wrote the attached test program to save and load a simulated
11x500,000 recarray. Average save and load times are given below (timeit
with 20 repetitions). The save time for sqlite is not really fair because I
h
Xavier Gnata wrote:
> Hi,
>
> I'm trying to update numpy by compiling the up to date svn:
>
> I get this error :
> gcc: numpy/linalg/lapack_litemodule.c
> gcc -pthread -shared
> build/temp.linux-i686-2.4/numpy/linalg/lapack_litemodule.o
> -lmkl_lapack32 -lmkl_lapack64 -lmkl -lvml -lguide -lpthrea
Hi,
I'm trying to update numpy by compiling the up to date svn:
I get this error :
gcc: numpy/linalg/lapack_litemodule.c
gcc -pthread -shared
build/temp.linux-i686-2.4/numpy/linalg/lapack_litemodule.o
-lmkl_lapack32 -lmkl_lapack64 -lmkl -lvml -lguide -lpthread -o
build/lib.linux-i686-2.4/numpy
Hi again,
On 7/19/07, Torgil Svensson <[EMAIL PROTECTED]> wrote:
If memory really is an issue, you have the nice "load_spec" version
and can always convert the files once by iterating over the file twice
like the attached script does.
I discovered that my script was broken and too complex. Th
Hi,
1. Your code is fast due to that you convert whole at once columns in
numpy. The first step with the lists is also very fast (python
implements lists as arrays). I like your version, I think it's as fast
as it gets in pure python and has to keep only two versions of the
data at once in memory
