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Update README and Getting Started page.
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diptorupd committed Jul 20, 2024
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7 changes: 3 additions & 4 deletions README.md
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Expand Up @@ -68,16 +68,15 @@ To install `numba_dpex` from the Intel(R) channel on Anaconda
cloud, use the following command:

```bash
conda install numba-dpex -c intel -c conda-forge
conda install numba-dpex -c https://software.repos.intel.com/python/conda -c conda-forge
```

## Pip

The `numba_dpex` can be installed using `pip` obtaining wheel packages either from PyPi or from Intel(R) channel on Anaconda.
To install `numba_dpex` wheel package from Intel(R) channel on Anaconda, run the following command:
The `numba_dpex` can be installed using `pip` obtaining wheel packages either from PyPi.

```bash
python -m pip install --index-url https://pypi.anaconda.org/intel/simple numba-dpex
python -m pip install numba-dpex
```

# Contributing
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8 changes: 4 additions & 4 deletions docs/source/getting_started.rst
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Expand Up @@ -20,7 +20,7 @@ to get the latest production releases.
conda create -n numba-dpex-env \
numba-dpex dpnp dpctl dpcpp-llvm-spirv \
-c intel -c conda-forge
-c https://software.repos.intel.com/python/conda -c conda-forge
To try out the bleeding edge, the latest packages built from tip of the main
source trunk can be installed from the ``dppy/label/dev`` conda channel.
Expand All @@ -29,7 +29,7 @@ source trunk can be installed from the ``dppy/label/dev`` conda channel.
conda create -n numba-dpex-env \
numba-dpex dpnp dpctl dpcpp-llvm-spirv \
-c dppy/label/dev -c intel -c conda-forge
-c dppy/label/dev -c https://software.repos.intel.com/python/conda -c conda-forge
Expand All @@ -53,7 +53,7 @@ Steps to build using ``conda-build``:

.. 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
3. Install the conda package

Expand All @@ -71,7 +71,7 @@ first step.
# Create a conda environment that hass needed dependencies installed
conda create -n numba-dpex-env \
scikit-build cmake dpctl dpnp numba dpcpp-llvm-spirv llvmdev pytest \
-c intel -c conda-forge
-c https://software.repos.intel.com/python/conda -c conda-forge
# Activate the environment
conda activate numba-dpex-env
# Clone the numba-dpex repository
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