![]() Get Started with the Intel AI Analytics Toolkit for Linux*.Intel AI Analytics Toolkit Landing Page.Intel Distribution for Python Landing Page.You can refer to samples on github, reach it in Reference Section. No special modifications to your existing Python* projects are required to start using them with this toolkit. Print('Time Consuming:',end-start) Build Your Own Project Run this numpy sample code in a stock Python* environment comparing to a IntelPython environment. These methods can be used as a sanity check that Intel Distribution for Python is properly installed. Intel(R) Distribution for Python is brought to you by Intel Corporation. ![]() Intel(R) Distribution for Python is brought to you by Intel® Corporation. Type "help", "copyright", "credits" or "license" for more information. The distribution info should include Intel Corporation: Acitvate conda environment, then follow the usual steps for activating the environment:Īfter the activation of the environment, type python in the command line to find the Python* distribution info.For example, for Python* version 3.9: conda create -n idp intelpython3_core python=3.9 To install the core python3 environment, do:Ĭonda create -n idp intelpython3_core python=3.x Please note that “x” in “python=3.x” should signify which version of Python* you would like to install. We recommend that you create a new environment while installing. Install Intel Distribution for Python via conda.Tell conda to choose Intel packages over default packages, when available. If you already have conda installed in your system, please update your conda: Follow Conda Installation Guide to install Conda in your environment.Then activate your conda environment with the following command:Ĭ:\ProgramFiles(x86)\Intel\oneAPI\intelpython\python3.x\Scripts\activate If you would like to bypass using root access to manage your conda environment, then you can clone your desired conda environment using the following command:Ĭonda create -name usr_intelpython -clone base By default, the Intel AI Analytics Toolkit is installed in the /opt/intel/oneapi folder, which requires root privileges to manage it.If you do not have root access to your oneAPI installation path:.However, if you have activated another environment, you can return with the following command: Intel Python environment will be activated by default. If you have root access to your oneAPI installation path or if you use the Intel® DevCloud:.Source the setvars script located in the root of your oneAPI installation.Ĭ:\Program Files(x86)\Intel\oneAPI\setvars.batįor more information on environment variables, view Use the setvars Script for Linux or macOS, or Windows. Set up Intel AI Analytics Toolkit environment.Find detailed information about the toolkit here. To download Intel Distribution for Python* from the Intel AI Analytics Toolkit, visit here and choose the installation method of your choice. So the Intel Distribution for Python is ready for use once the Intel AI Analytics Toolkit installation is finished and the environment activation is run. Intel® AI Analytics Toolkit includes Intel Distribution for Python. Supported Installation Options Install via Intel® AI Analytics Toolkit All these packages are optimized via Intel® oneAPI Math Kernel Library (oneMKL) and Intel® oneAPI Data Analytics Library (oneDAL) to make Python* application more efficient. Intel® Distribution for Python* is a cluster of packages includes Numba, NumPy and more.
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