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add a couple of jupyter notebook and d3 resources
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content/pages/02-development-environments/06-jupyter-notebook.markdown

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data science notebook projects such as MATLAB and Mathematica to set the stage
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for IPython and Jupyter's creation.
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* [How to Version Control Jupyter Notebooks](https://nextjournal.com/schmudde/how-to-version-control-jupyter)
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explains how Jupyter Notebooks are stored in JSON, the issues with that
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format for [source control](/source-control.html) and how to get
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around the problem.
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### Example Notebooks
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Example Notebooks are easy to fire up and see how other people are working.

content/pages/03-data/20-d3-js.markdown

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several charts to show how to build a dashboard based on public JSON
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data.
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* [d3-regression](https://observablehq.com/@harrystevens/introducing-d3-regression)
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is a module for calculating statistical regressions from two-dimensionala
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data.
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### D3 ecosystem
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* [The trouble with D3](https://medium.com/@enjalot/the-trouble-with-d3-4a84f7de011f)

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