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Intel Distribution for Python

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  Intel Distribution for Python beliavsky@aol.com - 2016-05-10 19:00 -0700
    Re: Intel Distribution for Python Chris Angelico <rosuav@gmail.com> - 2016-05-11 13:12 +1000
    Re: Intel Distribution for Python Arshpreet Singh <arsh840@gmail.com> - 2016-05-10 20:17 -0700
      Re: Intel Distribution for Python Chris Angelico <rosuav@gmail.com> - 2016-05-11 14:02 +1000
      Re: Intel Distribution for Python DFS <nospam@dfs.com> - 2016-05-11 00:17 -0400
      Re: Intel Distribution for Python beliavsky@aol.com - 2016-05-11 05:20 -0700
    Re: Intel Distribution for Python Terry Reedy <tjreedy@udel.edu> - 2016-05-10 23:47 -0400
    Re: Intel Distribution for Python beliavsky@aol.com - 2016-06-09 06:28 -0700

#108511 — Intel Distribution for Python

The Intel Distribution for Python 2017 Beta https://software.intel.com/en-us/python-distribution is available for Windows, Linux, and Mac OS for Python 2.7 and 3.5.

"The Beta product adds new Python packages like scikit-learn, mpi4py, numba, conda, tbb (Python interfaces to Intel® Threading Building Blocks) and pyDAAL (Python interfaces to Intel® Data Analytics Acceleration Library). The Beta also delivers performance improvements for NumPy/SciPy through linking with performance libraries like Intel® MKL, Intel® Message Passing Interface (Intel® MPI), Intel® TBB and Intel® DAAL."

I just installed Intel Python today. Has anyone tried it? Does it run your programs faster than the usual CPython?

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#108513

On Wed, May 11, 2016 at 12:00 PM, beliavsky--- via Python-list
<python-list@python.org> wrote:
> The Intel Distribution for Python 2017 Beta https://software.intel.com/en-us/python-distribution is available for Windows, Linux, and Mac OS for Python 2.7 and 3.5.
>
> "The Beta product adds new Python packages like scikit-learn, mpi4py, numba, conda, tbb (Python interfaces to Intel® Threading Building Blocks) and pyDAAL (Python interfaces to Intel® Data Analytics Acceleration Library). The Beta also delivers performance improvements for NumPy/SciPy through linking with performance libraries like Intel® MKL, Intel® Message Passing Interface (Intel® MPI), Intel® TBB and Intel® DAAL."
>
> I just installed Intel Python today. Has anyone tried it? Does it run your programs faster than the usual CPython?
>

I haven't used it, but based on a reading of their blurbs, I suspect
you won't see any significant improvement in base Python code - the
advantage is the numeric computation work.

For general Python performance, check out PyPy, although it tends to
lag behind CPython in versions somewhat. However, PyPy doesn't do
anything for your numpy performance, and doesn't even guarantee that
everything works:

http://pypy.org/download.html#installing-numpy

So if the Intel Math Kernel Library lives up to the descriptions, it
might be the thing to fill in this gap - "use PyPy to speed up your
Python code, or Intel Python to speed up your numpy code". (Most
programs won't have performance issues on both of those at once.)

It's worth noting that Intel engineers have been proposing a number of
performance improvements for backporting into the CPython core, and
some of them even made it into 2.7. I've no idea whether the page you
linked to is part of the same project or not; it might be completely
separate, or it might be the source of all those improvements.

ChrisA

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#108514

Thanks for the information, I just applied for program but I got one mail about license and expiration. 

<q>
This software license expires on October 29, 2016.
</q>

I am not able to understand that can anyone put some light on that how license can be expired? 

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#108516

On Wed, May 11, 2016 at 1:17 PM, Arshpreet Singh <arsh840@gmail.com> wrote:
> Thanks for the information, I just applied for program but I got one mail about license and expiration.
>
> <q>
> This software license expires on October 29, 2016.
> </q>
>
> I am not able to understand that can anyone put some light on that how license can be expired?

If I own something (say, a skillet that can fry your breakfast and
then clonk an intruder on the head), I can permit you to use it under
any terms I like. That includes putting a time limit on it ("you can
use it now, but I'll need it when I go to look at the floating
lights"). It's the same with software. The license terms are "Until
20161029, you may use this as long as blah blah blah, but after
20161029, you may not use this under any circumstances". A copyright
owner is free to put any restrictions on the use of the program; if
that prevents it from being useful to you, you're free to ignore the
program altogether.

ChrisA

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#108517

On 5/10/2016 11:17 PM, Arshpreet Singh wrote:
> Thanks for the information, I just applied for program but I got one mail about license and expiration.
>
> <q>
> This software license expires on October 29, 2016.
> </q>
>
> I am not able to understand that can anyone put some light on that how license can be expired?


Here's the actual Intel Python 2.7 beta license you have to agree to 
before it will install.

The DATA COLLECTION section is where you allow them to violate your privacy.

Ask a lawyer to explain it all to you... or don't read it and just click 
Next like everyone else.


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* Other names and brands may be claimed as the property of others
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#108525

On Tuesday, May 10, 2016 at 11:17:33 PM UTC-4, Arshpreet Singh wrote:
> Thanks for the information, I just applied for program but I got one mail about license and expiration. 
> 
> <q>
> This software license expires on October 29, 2016.
> </q>
> 
> I am not able to understand that can anyone put some light on that how license can be expired?

I assume that the Intel python.exe executable will stop running on that date. When I had a trial license for the Intel Fortran compiler, ifort.exe stopped working after one month.

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#108515

On 5/10/2016 11:12 PM, Chris Angelico wrote:
> On Wed, May 11, 2016 at 12:00 PM, beliavsky--- via Python-list
> <python-list@python.org> wrote:
>> The Intel Distribution for Python 2017 Beta https://software.intel.com/en-us/python-distribution is available for Windows, Linux, and Mac OS for Python 2.7 and 3.5.
>>
>> "The Beta product adds new Python packages like scikit-learn, mpi4py, numba, conda, tbb (Python interfaces to Intel® Threading Building Blocks) and pyDAAL (Python interfaces to Intel® Data Analytics Acceleration Library). The Beta also delivers performance improvements for NumPy/SciPy through linking with performance libraries like Intel® MKL, Intel® Message Passing Interface (Intel® MPI), Intel® TBB and Intel® DAAL."
>>
>> I just installed Intel Python today. Has anyone tried it? Does it run your programs faster than the usual CPython?
>>
>
> I haven't used it, but based on a reading of their blurbs, I suspect
> you won't see any significant improvement in base Python code - the
> advantage is the numeric computation work.

All their benchmarks are heavy numeric computation.

> For general Python performance, check out PyPy, although it tends to
> lag behind CPython in versions somewhat. However, PyPy doesn't do
> anything for your numpy performance, and doesn't even guarantee that
> everything works:
>
> http://pypy.org/download.html#installing-numpy
>
> So if the Intel Math Kernel Library lives up to the descriptions, it
> might be the thing to fill in this gap - "use PyPy to speed up your
> Python code, or Intel Python to speed up your numpy code". (Most
> programs won't have performance issues on both of those at once.)
>
> It's worth noting that Intel engineers have been proposing a number of
> performance improvements for backporting into the CPython core, and
> some of them even made it into 2.7. I've no idea whether the page you
> linked to is part of the same project or not; it might be completely
> separate, or it might be the source of all those improvements.

I presume it is all related.  What I find interesting is that Intel 
thinks it will be more profitable to be involved in numerical 
computation driven by python than not to.



-- 
Terry Jan Reedy

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#109745

Intel has released Beta Update 1 of its Python distribution:

"What's New!
Jupyter* notebook interface
Neural network APIs support for pyDAAL
Optimized random number generation features for numpy.random package"

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