Page Comparison

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Code

Code cells allow you to write and run programming code in a language of your choosing (e.g., Python)
Languages supported in Jupyter include Python, R, Julia, and many others
On ARCC HPC resources, we support jupyter code in Python and R
After running, they can and usually do provide some form of output

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Raw NBConvert

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“Raw Notebook Convert”
Retains any text in these cells in their raw form and does not run them
Enables the conversion of your notebook to another format as given by the FORMAT string using Jinja templates.
- Presenting: PDF
- Publishing: LaTeX
- Collaboration
- Sharing: HTML
Setting to “none” just makes it a “Raw” cell in which nothing is run on it.

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Jupyter Labs

Jupyter’s “next generation interface to work with notebooks, code, and data
Includes notebooks, but extends to consoles, terminals, CSV editors, markdown editors, interactive maps, etc.
- Users can easily write their own plugins.
- Workspace consists of a main work area, where you can open multiple documents and activities, and a collapsible left sidebar that provides access to the file browser, running kernels and terminals, command palette, and notebook cell tools.
Has a modular structure, allowing you to open several notebooks and added files like HTML, Text, markdown in the same window - more like an IDE.
- The main work area in JupyterLab uses a tab-based layout, allowing you to switch between multiple open documents easily.
- Users can drag and drop tabs to rearrange the layout, split the view to see multiple documents side-by-side, or even create new windows for a more customized workspace.
Lab also allows users to execute code in a python console

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