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Merge pull request #465 from stephane-caron/feature/contributing
Add Contributing section to the readme
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README.md

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@@ -18,7 +18,7 @@ EigenPy — Versatile and efficient Python bindings between Numpy and Eigen
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- full support Eigen::Ref avoiding memory allocation
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- full support of the Eigen::Tensor module
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- exposition of the Geometry module of Eigen for easy code prototyping
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- standard matrix decomposion routines of Eigen such as the Cholesky decomposition, SVD decomposition, QR decomposition, etc.
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- standard matrix decomposion routines of Eigen such as the Cholesky decomposition (SVD and QR decompositions [can be added](#contributing))
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- full support of SWIG objects
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- full support of runtime declaration of Numpy scalar types
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- extended API to expose std::vector types
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brew install eigenpy
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```
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## Contributing
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Standard matrix decomposion routines of Eigen such as the SVD and QR decompositions can be readily added to **EigenPy** following the example of the Cholesky decomposition that is already implemented. Feel free to open a PR if you wrap them for your use case.
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## Credits
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The following people have been involved in the development of **EigenPy**:

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