On 2/6/2014 6:03 PM, David Goldsmith wrote:
> So the substance of the utility function Stefan suggests is one line:
It's even easier than that:
np.mat('1 2;3 4').A
However the context is the introduction of the language
to students who have no programming experience, not
my personal convenience (
Charles R Harris wrote:
> The Eigen license is MPL-2. That doesn't look to be incompatible with
> BSD, but it may complicate things. Q8: I want to distribute (outside my
> organization) executable programs or libraries that I have compiled from
> someone else's unchanged MPL-licensed source code,
Date: Thu, 6 Feb 2014 08:42:38 -0800
> From: Chris Barker
> Subject: Re: [Numpy-discussion] create numerical arrays from strings
> To: Discussion of Numerical Python
> Message-ID:
> <
> calgmxekvnqok6wty-jbjzgaeu5ewhh1_flmsqxjsujfclex...@mail.gmail.com>
> Content-Type: text/plain; charse
According to the discussions on the ML, they switched from GPL to MPL
to enable the kind of distribution numpy/scipy is looking for. They
had some hesitations between BSD and MPL, but IIRC their official
stand is to allow inclusion inside BSD-licensed code.
Cheers,
Matthieu
2014-02-06 20:09 GMT+
On Thu, Feb 6, 2014 at 5:27 AM, Julian Taylor wrote:
>
> On Thu, Feb 6, 2014 at 1:11 PM, Thomas Unterthiner <
> thomas_unterthi...@web.de> wrote:
>
>> On 2014-02-06 11:10, Sturla Molden wrote:
>> > BTW: The performance of OpenBLAS is far behind Eigen, MKL and ACML, but
>> > better than ATLAS and
On Thu, Feb 6, 2014 at 5:46 AM, Alan G Isaac wrote:
> NumPy matrix construction includes as a convenience feature
> the construction of matrices with a Matlab-like syntax.
> E.g., np.mat('1 2;3 4').
>
> Is it correct that this syntax is not supported for
> direct (i.e., not using `mat`) ndarray c
Hi Alan
On Thu, 06 Feb 2014 08:46:49 -0500, Alan G Isaac wrote:
> You may ask, where would this possibly matter?
> The answer: in the undergraduate classroom.
As a lecturer, I understand where you are coming from, but I don't think we
can ultimately make API decisions based on teachability.
The
NumPy matrix construction includes as a convenience feature
the construction of matrices with a Matlab-like syntax.
E.g., np.mat('1 2;3 4').
Is it correct that this syntax is not supported for
direct (i.e., not using `mat`) ndarray creation?
You may ask, where would this possibly matter?
The answ
Advanced Scientific Programming in Python
=
a Summer School by the G-Node and the Faculty of Electrical
Engineering, Mechanical Engineering and Naval Architecture (FESB),
University of Split
Scientists spend more and more time writing, maintaining, and
debug
On Thu, Feb 6, 2014 at 1:11 PM, Thomas Unterthiner <
thomas_unterthi...@web.de> wrote:
> On 2014-02-06 11:10, Sturla Molden wrote:
> > BTW: The performance of OpenBLAS is far behind Eigen, MKL and ACML, but
> > better than ATLAS and Accelerate.
> Hi there!
>
> Sorry for going a bit off-topic, but:
On 2014-02-06 11:10, Sturla Molden wrote:
> BTW: The performance of OpenBLAS is far behind Eigen, MKL and ACML, but
> better than ATLAS and Accelerate.
Hi there!
Sorry for going a bit off-topic, but: do you have any links to the
benchmarks? I googled around, but I haven't found anything. FWIW,
On Tue, 04 Feb 2014 12:21:58 +0100, Ralf Gommers wrote:
> Finding a suitable mentor for whatever project Jennifer chooses is an
> important factor in the choice of project, so I have to ask: do you have
> the bandwidth to be a mentor or help out this summer?
I completely agree. I have time to be
I just thought i'd mention this:
Why not use Eigen? It has a full BLAS implementation and passes the BLAS
test suite, and is generelly faster than MKL except on Core i7. Also, Eigen
requires no build process, just include the header files.
Yes, Eigen is based on C++, but OpenBLAS is parially cod
13 matches
Mail list logo
