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tons of updates to jupyter notebook page
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content/pages/02-development-environments/06-jupyter-notebook.markdown

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@@ -12,18 +12,24 @@ meta: Jupyter Notebook, formerly named iPython Notebook, is a powerful Python co
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([open source code](https://github.com/jupyter/notebook)), which began
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as the iPython Notebook project, is a
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[development environment](/development-environments.html) for writing
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and executing Python code. Jupyter Notebook can also run code for
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other programming languages such as Julia and R, and Jupyter is often
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used for exploratory [data analysis](/data-analysis.html) and visualization.
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and executing Python code. Jupyter Notebook is often used for exploratory
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[data analysis](/data-analysis.html) and visualization.
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<a href="http://jupyter.org/" style="border:none"><img src="/img/logos/jupyter.png" width="100%" alt="Jupyter Notebook project logo." class="shot"></a>
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Project Jupyter is the top-level project name for all of the subprojects under
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development, which includes Jupyter Notebook. Jupyter Notebooks can also run
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code for other programming languages such as [Julia](https://julialang.org/) and
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[R](https://www.r-project.org/).
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### How does Jupyter Notebook work?
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The key piece of Jupyter Notebook infrastructure is a web application that
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runs locally for creating and sharing documents that contain embedded code and
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execution results.
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<img src="/img/visuals/jupyter-screenshot.jpg" width="100%" alt="Screenshot of Jupyter Notebook running in the browser and server in terminal." class="shot">
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<div class="well see-also">Jupyter Notebook is an implementation of the <a href="/text-editors-ides.html">text editors and IDEs</a> concept. Learn how these parts fit together in the <a href="/development-environments.html">development environments</a> chapter or view <a href="/table-of-contents.html">all topics</a>.</div>
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@@ -103,6 +109,11 @@ like advanced interactive visualizations.
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have a ton more details on ways to set up Jupyter Notebooks as dashboards
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and export results to other formats.
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* [mapboxgl-jupyter](https://github.com/mapbox/mapboxgl-jupyter) library along
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with the
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[quickstart](https://github.com/mapbox/mapboxgl-jupyter/blob/master/docs-markdown/viz.md)
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show you how to visualize geospatial data within your notebooks.
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* [28 Jupyter Notebook tips, tricks and shortcuts](https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/)
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explains many of the lesser-known keyboard shortcuts and mechanisms
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to output settings.
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