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@@ -73,6 +73,11 @@ your own productive workflow.
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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 use Jupyter Notebooks in 2020 (Part 1: The data science landscape)](https://ljvmiranda921.github.io/notebook/2020/03/06/jupyter-notebooks-in-2020/)
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is a high-level overview post that starts a series on Jupyter Notebooks.
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This first post covers why a tool like Jupyter Notebook is needed in
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the broader landscape of data science.
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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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