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The Intel® Distribution for Python* 2018 has officially been released!

DavidLiu
Employee
793 Views

The Intel® Distribution for Python* 2018 has officially been released! 

The new release brings Python 3.6 support, OpenCV and Intel® Performance Primitives (IPP) support, a tech preview of daal4py, and various package version updates.  

Please refer to the release notes for more information on the release.  

In addition, several other new articles have been posted:

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8 Replies
Todd_T_Intel
Employee
793 Views

NOTE on updating:

In order to update from an earlier version of Intel(R) Distribution for Python using conda, you will need to use the "conda install" command to update from python 3.5 to python 3.6. Using "conda update" will NOT work because it does not update python itself.

> conda install python=3.6 -c intel

cheng_l_
Beginner
793 Views

Hi, I just download and installed IDP 2018. It seems daal functionality are not usable anymore in scikit-learn package. Is it missed or there is something changed? Thank you.

yan_c_
Beginner
793 Views

Hi, official developer

it's glad to hear Intel Python 2018 to be released. But I have a problem, according to https://software.intel.com/en-us/articles/intel-optimized-packages-for-the-intel-distribution-for-py... , official benchmark nice result(https://software.intel.com/en-us/distribution-for-python/features) have any code to be provided?  

About FFT-benchamrk, can refer to: https://github.com/IntelPython/ , but other test case no found. Thanks !

DavidLiu
Employee
794 Views

[quote=yan c.]

Hi, official developer

it's glad to hear Intel Python 2018 to be released. But I have a problem, according to https://software.intel.com/en-us/articles/intel-optimized-packages-for-the-intel-distribution-for-py... , official benchmark nice result(https://software.intel.com/en-us/distribution-for-python/features) have any code to be provided?  

About FFT-benchamrk, can refer to: https://github.com/IntelPython/ , but other test case no found. Thanks !

Hi,

The majority of the benchmarks are under the github link you specified (i.e. Black Scholes, FFT), and the scikit-learn benchmarks can also be found on the official github for scikit-learn (https://github.com/scikit-learn/scikit-learn/tree/master/benchmarks).

Thanks,

-David

Turkel__Elichai
Beginner
794 Views
Any docs/samples for Intel Python IPP library?
Djordjic__Marko
Beginner
794 Views

Hi.

I am a big fan of Intel solutions for Python. However, I am unable to use Intel packages installed via pip, even with clean install of native Python distribution. Who do I need to contact to solve this problem. There has been at least one more post regarding the topic of installation of these packages with native Python distribution. Here is the one from Terry:

https://software.intel.com/en-us/forums/intel-distribution-for-python/topic/797010

Sergey_M_Intel2
Employee
794 Views

Hello Marko,

For faster response please submit your issue as a new forum post with correct subject. Do not expect someone will be looking into the comments for the 1 year old post announcing a release of software.

Please also do not expect responses during weekends. This is a community forum with no response SLA.

If you are eligible for the Priority Support you can submit your issue there so that dedicated support engineer is assigned https://software.intel.com/en-us/support/priority-support 

Thank you,

Sergey

Sharma__Rajat1
Student Ambassador
794 Views

Hi, It works good .

Thank you

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