Re: SciPy-User Digest, Vol 165, Issue 1

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: SciPy-User Digest, Vol 165, Issue 1

Mohamed IBN AL KADI
I want to unscribe please.

On 1 May 2017 9:47 a.m., <[hidden email]> wrote:
Send SciPy-User mailing list submissions to
        [hidden email]

To subscribe or unsubscribe via the World Wide Web, visit
        https://mail.python.org/mailman/listinfo/scipy-user
or, via email, send a message with subject or body 'help' to
        [hidden email]

You can reach the person managing the list at
        [hidden email]

When replying, please edit your Subject line so it is more specific
than "Re: Contents of SciPy-User digest..."


Today's Topics:

   1. Re: Install Scipy with Anaconda's MKL libraries (David Hagen)
   2. Re: Install Scipy with Anaconda's MKL libraries (Matthieu Brucher)
   3. Re: Install Scipy with Anaconda's MKL libraries (Denis Akhiyarov)


----------------------------------------------------------------------

Message: 1
Date: Sun, 30 Apr 2017 17:41:05 -0400
From: David Hagen <[hidden email]>
To: [hidden email]
Subject: Re: [SciPy-User] Install Scipy with Anaconda's MKL libraries
Message-ID:
        <CALO6Ft55X=[hidden email]>
Content-Type: text/plain; charset="utf-8"

> Welcome to the world of pain with building scientific packages from
source on Windows!

I am beginning to feel it.

> You need Fortran and C/C++ compilers on Windows to build scipy from source

I have MinGW-w64 installed, which seems to be the recommended method.

> I?m pretty sure that anaconda does not come with the development files
for MKL, only the runtime files.

I understand now. It looks like MKL is not the way to go unless I want to
pay Intel.

> If you don't need mkl and lapack/blas is good enough, then
m2w64-toolchain from conda should have all necessary dependencies for
building scipy.

My only goal is to install and use Scipy master somewhere where it won't
break my stable installation. I thought Anaconda would be a good place to
start because once I activate an Anaconda environment, I should be able to
treat like a normal Python installation and follow the normal
install-from-source instructions. I went ahead and installed that
m2w64-toolchain package, but it still doesn't find any BLAS/LAPACK. Maybe I
should change my question to: how do I install Scipy on Windows from
source? Though when I search for this specifically on the web, the answer
seems to be "Don't.". It seems that MinGW-w64 and ATLAS are recommended by
Scipy. Do you know of a conda/pip package that provides ATLAS for building
Scipy or another more suitable BLAS/LAPACK?
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scipy-user/attachments/20170430/3a767c3a/attachment-0001.html>

------------------------------

Message: 2
Date: Sun, 30 Apr 2017 23:22:03 +0100
From: Matthieu Brucher <[hidden email]>
To: SciPy Users List <[hidden email]>
Subject: Re: [SciPy-User] Install Scipy with Anaconda's MKL libraries
Message-ID:
        <[hidden email]>
Content-Type: text/plain; charset="utf-8"

Why do you want to pay Intel? You can install the MKL and develop with it,
no sweat.

2017-04-30 22:41 GMT+01:00 David Hagen <[hidden email]>:

> > Welcome to the world of pain with building scientific packages from
> source on Windows!
>
> I am beginning to feel it.
>
> > You need Fortran and C/C++ compilers on Windows to build scipy from
> source
>
> I have MinGW-w64 installed, which seems to be the recommended method.
>
> > I?m pretty sure that anaconda does not come with the development files
> for MKL, only the runtime files.
>
> I understand now. It looks like MKL is not the way to go unless I want to
> pay Intel.
>
> > If you don't need mkl and lapack/blas is good enough, then
> m2w64-toolchain from conda should have all necessary dependencies for
> building scipy.
>
> My only goal is to install and use Scipy master somewhere where it won't
> break my stable installation. I thought Anaconda would be a good place to
> start because once I activate an Anaconda environment, I should be able to
> treat like a normal Python installation and follow the normal
> install-from-source instructions. I went ahead and installed that
> m2w64-toolchain package, but it still doesn't find any BLAS/LAPACK. Maybe I
> should change my question to: how do I install Scipy on Windows from
> source? Though when I search for this specifically on the web, the answer
> seems to be "Don't.". It seems that MinGW-w64 and ATLAS are recommended by
> Scipy. Do you know of a conda/pip package that provides ATLAS for building
> Scipy or another more suitable BLAS/LAPACK?
>
> _______________________________________________
> SciPy-User mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/scipy-user
>
>


--
Information System Engineer, Ph.D.
Blog: http://blog.audio-tk.com/
LinkedIn: http://www.linkedin.com/in/matthieubrucher
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scipy-user/attachments/20170430/30c78312/attachment-0001.html>

------------------------------

Message: 3
Date: Mon, 01 May 2017 07:44:57 +0000
From: Denis Akhiyarov <[hidden email]>
To: SciPy Users List <[hidden email]>
Subject: Re: [SciPy-User] Install Scipy with Anaconda's MKL libraries
Message-ID:
        <CALxxJLTUAjOupyKROxaYPAr+7VOTFm5kj70mEZApZUpAzgE=[hidden email]>
Content-Type: text/plain; charset="utf-8"

I still suggest Intel+MSVC compilers, since you can use trial version or
request license for open-source projects from Intel. This is what Anaconda
team is using. Also this is what Christoph Gohlke wheels are based on:

http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

If you end up with m2w64, here is lapack for conda, you may still have to
modify paths:

https://anaconda.org/conda-forge/lapack

And blas:

https://anaconda.org/search?q=Blas

On Sun, Apr 30, 2017, 5:22 PM Matthieu Brucher <[hidden email]>
wrote:

> Why do you want to pay Intel? You can install the MKL and develop with it,
> no sweat.
>
> 2017-04-30 22:41 GMT+01:00 David Hagen <[hidden email]>:
>
>> > Welcome to the world of pain with building scientific packages from
>> source on Windows!
>>
>> I am beginning to feel it.
>>
>> > You need Fortran and C/C++ compilers on Windows to build scipy from
>> source
>>
>> I have MinGW-w64 installed, which seems to be the recommended method.
>>
>> > I?m pretty sure that anaconda does not come with the development files
>> for MKL, only the runtime files.
>>
>> I understand now. It looks like MKL is not the way to go unless I want to
>> pay Intel.
>>
>> > If you don't need mkl and lapack/blas is good enough, then
>> m2w64-toolchain from conda should have all necessary dependencies for
>> building scipy.
>>
>> My only goal is to install and use Scipy master somewhere where it won't
>> break my stable installation. I thought Anaconda would be a good place to
>> start because once I activate an Anaconda environment, I should be able to
>> treat like a normal Python installation and follow the normal
>> install-from-source instructions. I went ahead and installed that
>> m2w64-toolchain package, but it still doesn't find any BLAS/LAPACK. Maybe I
>> should change my question to: how do I install Scipy on Windows from
>> source? Though when I search for this specifically on the web, the answer
>> seems to be "Don't.". It seems that MinGW-w64 and ATLAS are recommended by
>> Scipy. Do you know of a conda/pip package that provides ATLAS for building
>> Scipy or another more suitable BLAS/LAPACK?
>>
>> _______________________________________________
>> SciPy-User mailing list
>> [hidden email]
>> https://mail.python.org/mailman/listinfo/scipy-user
>>
>>
>
>
> --
> Information System Engineer, Ph.D.
> Blog: http://blog.audio-tk.com/
> LinkedIn: http://www.linkedin.com/in/matthieubrucher
> _______________________________________________
> SciPy-User mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/scipy-user
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scipy-user/attachments/20170501/f5de028e/attachment.html>

------------------------------

Subject: Digest Footer

_______________________________________________
SciPy-User mailing list
[hidden email]
https://mail.python.org/mailman/listinfo/scipy-user


------------------------------

End of SciPy-User Digest, Vol 165, Issue 1
******************************************

_______________________________________________
SciPy-User mailing list
[hidden email]
https://mail.python.org/mailman/listinfo/scipy-user
Loading...