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[ArrayFire](https://github.com/arrayfire/arrayfire) is a high performance library for parallel computing with an easy-to-use API. It enables users to write scientific computing code that is portable across CUDA, OpenCL and CPU devices.
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arrayfire-py -> arrayfire-binary-python-wrapper -> ArrayFire C Libraries
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```
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This means that arrayfire with python each of these parts is needed:
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-[`arrayfire-py`](https://github.com/arrayfire/arrayfire-py) is the `thin` wrapper that provides the numpy-like interface to execute math and array operations. *** This is the intended User Interface ***
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-[`arrayfire-binary-python-wrapper`](https://github.com/arrayfire/arrayfire-binary-python-wrapper) is the `binary`wrapper that provides rough direct access to the functions in the C library.
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-[`ArrayFire C Libraries`](https://github.com/arrayfire/arrayfire) are the binaries obtained from compiling the [ArrayFire C/C++ Project](https://github.com/arrayfire/arrayfire)
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-[`arrayfire-py`](https://github.com/arrayfire/arrayfire-python) is the intended User Interface that provides a numpy-like layer to execute math and array operations with ArrayFire. *** This is the preferred Interface ***
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-[`arrayfire-binary-python-wrapper`](https://github.com/arrayfire/arrayfire-binary-python-wrapper) is the wrapper that provides Python direct access to the ArrayFire functions in the C library. This package must have access to ArrayFire binaries.
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-[`ArrayFire C Libraries`](https://github.com/arrayfire/arrayfire) are the binaries obtained from compiling the [ArrayFire C/C++ Project](https://github.com/arrayfire/arrayfire). You obtain these easily through [installers in the ArrayFire download page](https://arrayfire.com/download/).
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**Install the last stable version of python wrapper:**
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