All Intel Distribution for Python components are available for on/offline installation using a stand-alone conda*-based installer. Choose this option if your target installation environments are behind a firewall, you need to manage versions, or for other purposes.
To customize your selections, choose a package manager for installation.
Make sure your system meets the System Requirements.
1. Get and update Conda.
conda update conda
2. For GPU users, install a GPU driver.
1. If you do not have pip, use the following instructions to install it. After installation, make sure that you can run pip from the command line. Installation Instructions
2. Create and activate a virtual environment:
python3.11 -m venv idp
source idp/bin/activate
3. GPU Users: Install a GPU Driver.
1. If you do not have pip, use the following instructions to install it. After installation, make sure that you can run pip from the command line. Installation Instructions
2. Create and activate a virtual environment:
python3.11 -m venv idp
idp\Scripts\activate
3. GPU Users: Install a GPU Driver.
1. If you do not have pip, use the following instructions to install it. After installation, make sure that you can run pip from the command line. Installation Instructions
2. Create and activate a virtual environment:
python3.12 -m venv idp
source idp/bin/activate
3. GPU Users: Install a GPU Driver.
1. If you do not have pip, use the following instructions to install it. After installation, make sure that you can run pip from the command line. Installation Instructions
2. Create and activate a virtual environment:
python3.12 -m venv idp
idp\Scripts\activate
3. GPU Users: Install a GPU Driver.
Before running the containers, install the Docker engine as described in the Docker Installation Instructions.
1. Get and update Mamba.
conda update mamba
2. For GPU users, installl a GPU Driver.
For Linux, set up your system for GPU development as described in Intel® Data Center GPU Series Driver Installation or Client GPU Driver Installation
conda create -n idp intelpython3_full python=3.11 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
conda create -n idp intelpython3_full python=3.12 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
Select a small bundle from the list (left) to generate the required install code string.
After running the installation command, activate the conda environment by entering the following command:
conda activate idp
Verify your installation success by running conda list command.
To install Intel-distributions of components, enter the following as two separate commands:
pip install -i https://software.repos.intel.com/python/pypi numpy scipy dpnp dpctl tbb4py
pip install smp cython numba scikit-learn-intelex
To retrieve the pip command strings, select a radio button next to a group of components. The commands are compatible with Python 3.11 and 3.12.
pip install -i https://software.repos.intel.com/python/pypi numpy scipy
pip install scikit-learn-intelex
pip install -i https://software.repos.intel.com/python/pypi dpctl dpnp
pip install -i https://software.repos.intel.com/python/pypi tbb4py
pip install smp
pip install cython numba
To verify if your installation was a success, enter the following command: pip list.
mamba create -n idp intelpython3_full python=3.11 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
mamba create -n idp intelpython3_full python=3.12 -c https://software.repos.intel.com/python/conda -c conda-forge --override-channels
After running the installation command, activate the mamba environment by entering the following command:
mamba activate idp
Verify your installation success by running the mamba list command.
Select a small bundle from the list (left) to generate the required installation code string.
You may need to use sudo with the provided command to ensure proper permissions.
Verify the installation success by running some tests in the container as described in Intel® Distribution for Python* container README.
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These instructions apply to Linux online and offline installations.
For Online Installation
For Offline Installation
Example (your file name and installation folder name may be different):
1. Download intelpython3-<package-name-number-goes-here>-Linux-x86_64.sh
to:
bash /home/user/downloads
2. Create an installation folder. Your folder can be any name you wish. For example, /home/user/python2025.
3. To install the package into the installation folder you created, enter the following command (replace the bracketed placeholder with the real package name-number and the folder name that you created):
bash ./intelpython3-[package-name-number-goes-here]-Linux-x86_64.sh -b -p /home/user/python2025
4. (Optional) For offline, no-internet connectivity installations, move the folder you just created to the target machines.
In this example, the installation folder /python2025 is completely redistributable.
1. Activate the conda environment using the following command: source $HOME/[folder-name-you-created]/bin/activate For example,
source $HOME/python2025/bin/activate
2. For GPU users, set up your system for GPU development as described in Intel® Data Center GPU Series Driver Installation or Client GPU Driver Installation
3. Verify your installation success by running the conda list command.
Conda-based Installer Instructions
These instructions present a general overview of the process, followed by a specific example. The instructions apply to Windows*.
General process for Online Installation
General process for Offline Installation
Example (Your file name and folder name may be different):
1. Download intelpython3--x86_64.exe to:
bash C:\Users\user\Downloads
2. Create a new folder for the installation (Remember, name the folder as you wish): For example,
bash C:\Users\user\python2025
3. Run the installer file by entering the command:
bash start /wait <file-name-number-goes-here>.exe /S /RegisterPython=0 /D= C:\Users\user\python2025
4. (Optional) For offline, no-internet connectivity installations, move the folder you just created to the target machines.
In this example, the installation folder \python2025\ is completely redistributable.
For more information, see the Get Started Guide.
1. Activate the conda environment with the following command: C:\Users\user\name-you-created\Scripts.activate. For example,
Example command:
C:\Users\user\python2025\Scripts\.activate
2. GPU users: Set up your system for GPU development Use Intel® Arc™ & Iris® Xe Graphics - Windows* and Guide for Intel® oneAPI Toolkits for complete instructions.
3. Verify your installation success by running conda list command.
For documentation and resources to get started, see Intel® Distribution for Python*.
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