Hi,
I am using python 2.6 that comes pre installed on Mac Lion 10.7.4. I am also
using Gurobipy which is an optimization solver. Now, I need to install numpy
and scipy to use their statistical functions. I read mixed reviews about
compatibility of numpy and scipy with preinstalled python 2.6. I
We now have
>>> a = array([[1, 2], [3, 4]], dtype=int8)
array([[1, 2],
[3, 4]], dtype=int8)
>>> d = linalg.det(a)
>>> d
-2.0004
>>> d.dtype
dtype('float64')
This is at least partly due to use of LU factorization in computing
the determinant.
Some operations on integer m
Prakash,
On Tue, Jul 10, 2012 at 3:26 PM, Prakash Joshi wrote:
> Thanks Ben.
>
> Also I did not specified any of BLAS, LAPACK, ATLAS libraries, do we
> need these libraries for numpy?
>
"Need", no, you do not "need" them in the sense that NumPy does not require
them to work. NumPy will work
Thanks Ben.
Also I did not specified any of BLAS, LAPACK, ATLAS libraries, do we need these
libraries for numpy?
I simply used following command to build:
python setup.py build
python setup.py install —prefix=/usr/local
If above commands are sufficient, than I hope same steps to build will
On Tue, Jul 10, 2012 at 2:45 PM, Prakash Joshi wrote:
> Hi All,
>
> I built numpy 1.6.2 on linux 64 bit and installed numpy in
> site-packages, It pass all the test cases of numpy, but I am not sure if
> this is good build; As I did not specified any fortran compiler while
> setup, also I do n
[Apologies for cross-posting. Please direct any replies to
pyd...@googlegroups.com.]
I'm pleased to announce the first release of Patsy, a Python package
for describing statistical models and building design matrices using
"formulas". Patsy's formulas are inspired by and largely compatible
with th
Hi All,
I built numpy 1.6.2 on linux 64 bit and installed numpy in site-packages, It
pass all the test cases of numpy, but I am not sure if this is good build; As I
did not specified any fortran compiler while setup, also I do not have fortran
compiler on my machine.
Thanks
Prakash
__
Some more context over what Francesc said:
If you mean using SSE for simple things like addition and multiplication, then
you must be aware that NumPy's way of working means that it lends itself very
badly to such optimizations. For small arrays, the Python interpreter overhead
tends to dominat
On 7/10/12 5:07 PM, Fode wrote:
> I am interested in adding SSE optimizations to numpy, where should I
> start?
Well, to my knowledge there is not many open source code (Intel MKL and
AMD ACML do not enter in this section) that uses the SSE, but a good
start could be:
http://gruntthepeon.free.
I am interested in adding SSE optimizations to numpy, where should I start?
Fode
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Thank you very much.
On Tue, Jul 10, 2012 at 3:02 AM, Travis Oliphant wrote:
>
> On Jul 9, 2012, at 9:24 PM, Yan Tang wrote:
>
> Hi,
>
> I noticed there is an odd issue when I am trying to convert a recarray to
> list. See below for the example/test case.
>
> $ cat a.csv
> date,count
> 2011-07-2
On Tue, Jul 10, 2012 at 1:05 AM, Travis Oliphant wrote:
>
> On Jul 9, 2012, at 10:32 PM, Charles R Harris wrote:
>
> > Hi All,
> >
> > I've been adding type specific sorts for object and structured arrays.
> It seems that datetime64 and timedelta64 are also not supported. Is there
> any reason why
> For documentation we have docstrings for each function and tutorial-style
> docs (http://docs.scipy.org/doc/numpy/user/,
> http://scipy-lectures.github.com/intro/numpy/index.html) . All docstrings
> should have clear usage examples, but I'm actually finding it quite hard to
> find functions that
On Tue, Jul 10, 2012 at 6:07 AM, Ralf Gommers
wrote:
>
>
> On Tue, Jul 10, 2012 at 11:36 AM, Ralf Gommers <
> ralf.gomm...@googlemail.com> wrote:
>
>>
>>
>> On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman
>> wrote:
>>
>>> Hi all,
>>>
>>> Some colleagues and I are interested in contributing to nump
On Tue, Jul 10, 2012 at 3:37 AM, Robert Kern wrote:
> On Tue, Jul 10, 2012 at 4:32 AM, Charles R Harris
> wrote:
> > Hi All,
> >
> > I've been adding type specific sorts for object and structured arrays. It
> > seems that datetime64 and timedelta64 are also not supported. Is there
> any
> > reas
On Tue, Jul 10, 2012 at 11:36 AM, Ralf Gommers
wrote:
>
>
> On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman wrote:
>
>> Hi all,
>>
>> Some colleagues and I are interested in contributing to numpy. We have
>> a range of backgrounds -- I for example am new to contributing to open
>> source software b
On 10 July 2012 09:05, Andrew Dalke wrote:
> On Jul 8, 2012, at 9:22 AM, Scott Sinclair wrote:
>> On 6 July 2012 15:48, Andrew Dalke wrote:
>>> I followed the instructions at
>>> http://docs.scipy.org/doc/numpy/dev/gitwash/patching.html
>>> and added Ticket #2181 (with patch) ...
>>
>> Those ins
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman wrote:
> Hi all,
>
> Some colleagues and I are interested in contributing to numpy. We have
> a range of backgrounds -- I for example am new to contributing to open
> source software but have a (small) bit of background in scientific
> computation, wh
Hi,
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman wrote:
> Hi all,
>
> Some colleagues and I are interested in contributing to numpy.
That's great, welcome!
> We have a range of backgrounds -- I for example am new to contributing to
> open
> source software but have a (small) bit of backgrou
Hello,
early bird registration for Euroscipy 2012 is soon coming to an end, with
the deadline on July 22nd. Don't forget to register soon! Reduced fees
are available for academics, students and speakers. Registration takes
place online on http://www.euroscipy.org/conference/euroscipy2012.
Euroscip
On Tue, Jul 10, 2012 at 4:32 AM, Charles R Harris
wrote:
> Hi All,
>
> I've been adding type specific sorts for object and structured arrays. It
> seems that datetime64 and timedelta64 are also not supported. Is there any
> reason why those types should not be sorted as int64?
You need special ha
Andrew,
Thank you for your comments. I agree it's confusing coming to github at
first. I still have to refer to the jargon-file to understand what everything
means. There are a lot of unfamiliar terms.
Thank you for your patches. It does imply more work for developers on NumPy,
whic
On Jul 9, 2012, at 10:32 PM, Charles R Harris wrote:
> Hi All,
>
> I've been adding type specific sorts for object and structured arrays. It
> seems that datetime64 and timedelta64 are also not supported. Is there any
> reason why those types should not be sorted as int64?
>
> Also, when sort
On Jul 8, 2012, at 9:22 AM, Scott Sinclair wrote:
> On 6 July 2012 15:48, Andrew Dalke wrote:
>> I followed the instructions at
>> http://docs.scipy.org/doc/numpy/dev/gitwash/patching.html
>> and added Ticket #2181 (with patch) ...
>
> Those instructions need to be updated to reflect the current
On Jul 9, 2012, at 9:24 PM, Yan Tang wrote:
> Hi,
>
> I noticed there is an odd issue when I am trying to convert a recarray to
> list. See below for the example/test case.
>
> $ cat a.csv
> date,count
> 2011-07-25,91
> 2011-07-26,118
> $ cat b.csv
> name,count
> foo,1233
> bar,100
>
> $ pyt
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