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README.md

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@@ -11,3 +11,33 @@ The purpose of this repository is document the existing support for numerical co
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* [Array programming in Haskell](https://www.tweag.io/posts/2017-08-09-array-programming-in-haskell.html)
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* [Enter the matrix, Haskell style](https://www.tweag.io/posts/2017-08-31-hmatrix.html)
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## People working in this space
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[Marco Zocca](https://github.com/ocramz)
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[Carter Schonwald](https://github.com/cartazio)
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## Tools
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| Project | Description |
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|:------------------------------------------------------|:-----------------------------------------------|
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| [hmatrix](https://hackage.haskell.org/package/hmatrix)| Matrix operations in Haskell |
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| [Frames](https://hackage.haskell.org/package/Frames) | Data frames in Haskell |
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| [grenade](https://github.com/HuwCampbell/grenade) | Deep learning |
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| [numerical](https://github.com/wellposed/numerical) | pre-alpha numerical package |
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| [ad](https://hackage.haskell.org/package/ad) | Automatic differentiation (by Ed) |
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| [jupyter](https://jupyter.org/) | Notebook-style web app for working with data |
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| [haskell.do](http://haskell.do/) | Notebook-style web thing for Haskell |
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| [hakaru](https://github.com/hakaru-dev/hakaru) | Probabilistic programming |
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## Other groups
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[theam](https://theam.io)
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[data Haskell](http://www.datahaskell.org/): Open source community around doing data science in Haskell
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## Books
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[Haskell data analysis cookbook](https://www.packtpub.com/big-data-and-business-intelligence/haskell-data-analysis-cookbook)
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[Learning Haskell data analysis](https://www.packtpub.com/big-data-and-business-intelligence/learning-haskell-data-analysis)

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