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* [Kivy](#kivy)
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* [Pandas](#pandas)
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* [Pyramid](#pyramid)
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* [Tornado](#tornado)
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* [QML](#qml)
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* [R](#r)
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* [Racket](#racket)
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* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
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* [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
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* [Introduction to Machine Learning](http://arxiv.org/abs/0904.3664v1) - Amnon Shashua
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* [Learn Tensorflow](https://bitbucket.org/hrojas/learn-tensorflow) - Jupyter Notebooks
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* [Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf) (PDF)
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* [Machine Learning](http://www.intechopen.com/books/machine_learning)
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* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/)
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#### Pandas
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* [Learn Pandas](https://bitbucket.org/hrojas/learn-pandas) - Hernan Rojas (0.13.0)
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* [Learn Pandas](https://bitbucket.org/hrojas/learn-pandas) - Hernan Rojas (0.18.1)
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#### Pyramid
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* [Pyramid for humans](http://docs.pylonsproject.org/projects/pyramid-tutorials/en/latest/humans/index.html)
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#### Tornado
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* [Learn Web Programming](https://bitbucket.org/hrojas/learn-web-programming)
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### QML
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* [Qt5 Cadaques](http://qmlbook.github.io) - Juergen Bocklage-Ryannel and Johan Thelin (HTML, PDF, ePub) (work in progress)
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