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README.md

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@@ -4,7 +4,7 @@ CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It c
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* [cuda.core](https://nvidia.github.io/cuda-python/cuda-core/latest): Pythonic access to CUDA Runtime and other core functionalities
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* [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest): Low-level Python bindings to CUDA C APIs
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* cuda.pathfinder: Utilities for locating CUDA components installed in the user's Python virtual environment
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* [cuda.pathfinder](https://github.com/NVIDIA/cuda-python/blob/main/cuda_pathfinder/cuda/pathfinder/README.md): Utilities for locating CUDA components installed in the user's Python environment
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* [cuda.cccl.cooperative](https://nvidia.github.io/cccl/python/cooperative): A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
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* [cuda.cccl.parallel](https://nvidia.github.io/cccl/python/parallel): A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc. that are callable on the *host*
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* [numba.cuda](https://nvidia.github.io/numba-cuda/): Numba's target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model.

cuda_python/docs/source/index.rst

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- `cuda.core`_: Pythonic access to CUDA runtime and other core functionalities
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- `cuda.bindings`_: Low-level Python bindings to CUDA C APIs
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- `cuda.pathfinder`: Utilities for locating CUDA components installed in the user's Python virtual environment
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- `cuda.pathfinder_`: Utilities for locating CUDA components installed in the user's Python environment
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- `cuda.cccl.cooperative`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
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- `cuda.cccl.parallel`_: A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc, that are callable on the *host*
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- `numba.cuda`_: Numba's target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model.
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* `nvmath-python`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with both *host* and *device* (through `nvmath.device`_) APIs. It also provides low-level Python bindings to host C APIs (through `nvmath.bindings`_).
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.. _cuda.pathfinder: https://github.com/NVIDIA/cuda-python/blob/main/cuda_pathfinder/cuda/pathfinder/README.md
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.. _nvmath-python: https://docs.nvidia.com/cuda/nvmath-python/latest
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.. _nvmath.device: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis
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.. _nvmath.bindings: https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html
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release.md
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cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>
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cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>
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cuda.pathfinder <https://github.com/NVIDIA/cuda-python/blob/main/cuda_pathfinder/cuda/pathfinder/README.md>
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cuda.cccl.cooperative <https://nvidia.github.io/cccl/python/cooperative>
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cuda.cccl.parallel <https://nvidia.github.io/cccl/python/parallel>
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numba.cuda <https://nvidia.github.io/numba-cuda/>

cuda_python/docs/source/release/12.9.1-notes.rst

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* `cuda.bindings 12.9.1 <https://nvidia.github.io/cuda-python/cuda-bindings/latest/release/12.9.1-notes.html>`_
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* cuda.pathfinder 1.1.0
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* `cuda.pathfinder 1.1.0 <https://github.com/NVIDIA/cuda-python/blob/main/cuda_pathfinder/cuda/pathfinder/README.md>`_
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cuda_python/docs/source/release/13.0.0-notes.rst

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* `cuda.bindings 13.0.0 <https://nvidia.github.io/cuda-python/cuda-bindings/13.0.0/release/13.0.0-notes.html>`_
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* cuda.pathfinder 1.1.0
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* `cuda.pathfinder 1.1.0 <https://github.com/NVIDIA/cuda-python/blob/main/cuda_pathfinder/cuda/pathfinder/README.md>`_
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