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Co-authored-by: Charlotte Wickham <[email protected]>
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docs/computations/julia.qmd

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Quarto has two available engines for executing Julia code. The older one is using the [IJulia](https://github.com/JuliaLang/IJulia.jl) Jupyter kernel and depends on Python to run. The newer engine is using the [QuartoNotebookRunner.jl](https://github.com/PumasAI/QuartoNotebookRunner.jl/) package to render notebooks and does not have any additional dependencies beyond a Julia installation.
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To use either of these engines will require that you manually install Julia if
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Using either of these engines will require manually installing Julia if
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you have not done so already. You can download it from
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https://julialang.org/downloads/. There are two options for installation: the
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Juliaup installation manager, and the "manual" installation approach. Unless
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you know that you need to use the "manual" approach you should prefer using
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Juliaup installation manager, or the "manual" installation approach. Unless
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you know that you need to use the "manual" approach, use
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Juliaup since it allows you to manage multiple Julia versions on your system.
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## Using the `jupyter` engine
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### Caching {#caching-julia}
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The engine has built-in support for caching notebook results. This feature is disabled by
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default but can be enabled by setting `execute.cache` option to `true` in a notebook's
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default but can be enabled by setting the `execute.cache` option to `true` in a notebook's
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frontmatter:
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````markdown
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Notebook caches are invalidated based on the following criteria:
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- Using a different Julia version to run the notebook.
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- The `Manifest.toml` of the environment the notebook is run in. Adding, removing, or changing package versions will invalidate the cache.
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- Changes to the `Manifest.toml` of the environment the notebook is run in. Adding, removing, or changing package versions will invalidate the cache.
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- Changing any contents in the notebook's frontmatter.
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- Changing any contents of any executable Julia cells, including cell options.
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