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

[DavidLiu]

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:

• Intel® Optimized Packages for the Intel® Distribution for Python*
• Complete List of Packages for the Intel® Distribution for Python*

[Todd_T_Intel]

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_]

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_]

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-python , 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]

[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-python , 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]

Any docs/samples for Intel Python IPP library?

[Djordjic__Marko]

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]

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]

Hi, It works good .

Thank you