Hi,
I have been using h5py a lot (both on windows and Mac OSX) and can only
recommend it- haven't tried the other options though
Cheers,
Simon
On Tue, Jun 21, 2011 at 8:24 PM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> On 21.06.2011, at 7:58PM, Neal Becker wrote:
>
Hi Ben,
It's very easy to package numpy (and most other modules) with py2exe,
which like Dan mentioned above, will include all necessary (also non-python)
libraries into a dist-folder. The folder to distribute can of course get
quite large if you include a lot of libraries - but I think that onl
Hi List,
I had similar problems on windows. I tried to use memmaps to buffer a
large amount of data and process it in chunks. But I found that whenever I
tried to do this, I always ended filling up RAM completely which led to
crashes of my python script with a MemoryError. This led me to conside
ing
> large amounts (~10Gb) of experimental data. Very fast, very convenient.
>
> Ciao
>
> Davide
>
> On Thu, 2010-06-17 at 08:33 -0400, greg whittier wrote:
> > On Thu, Jun 17, 2010 at 4:21 AM, Simon Lyngby Kokkendorff
> > wrote:
> > > memory errors. Is
Hi list,
I am new to this list, so forgive me if this is a trivial problem,
however i would appreciate any help.
I am using numpy to work with large amounts of data - sometimes too much
to fit into memory. Therefore I want to be able to store data in binary
files and use numpy to read chunks
