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Replace "-c intel" with "-c https://software.repos.intel.com/python/conda" #1935

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17 changes: 8 additions & 9 deletions doc/quick_start_guide.rst
Original file line number Diff line number Diff line change
Expand Up @@ -37,15 +37,14 @@ in the next installation section.
Installation
============

Install Package from Anaconda
-----------------------------
Install Package from Intel(R) channel
-------------------------------------------

It is recommended to use conda packages from the ``anaconda.org/intel``
channel. You will need one of the commands below:
You will need one of the commands below:

* Conda: ``conda install dpnp -c intel -c conda-forge``
* Conda: ``conda install dpnp -c https://software.repos.intel.com/python/conda/ -c conda-forge``

* Pip: ``pip install -i https://pypi.anaconda.org/intel/simple dpnp``
* Pip: ``python -m pip install --index-url https://pypi.anaconda.org/intel/simple dpnp``

These commands install dpnp package along with its dependencies, including
``dpctl`` package with `Data Parallel Control Library`_ and all required
Expand All @@ -69,7 +68,7 @@ And to build dpnp package from the sources:

.. code-block:: bash

conda build conda-recipe -c intel -c conda-forge
conda build conda-recipe -c https://software.repos.intel.com/python/conda/ -c conda-forge

Finally, to install the result package:

Expand All @@ -89,14 +88,14 @@ On Linux:

.. code-block:: bash

conda create -n build-env dpctl cython dpcpp_linux-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c intel -c conda-forge
conda create -n build-env dpctl cython dpcpp_linux-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c https://software.repos.intel.com/python/conda/ -c conda-forge
conda activate build-env

On Windows:

.. code-block:: bash

conda create -n build-env dpctl cython dpcpp_win-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c intel -c conda-forge
conda create -n build-env dpctl cython dpcpp_win-64 mkl-devel-dpcpp tbb-devel onedpl-devel cmake scikit-build ninja pytest -c https://software.repos.intel.com/python/conda/ -c conda-forge
conda activate build-env

To build and install the package on Linux OS, run:
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