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Update links to external Julia packages
Pluto.jl has a nice homepage, refer to that instead of the GitHub repo
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docs/src/tutorials/curve-fit.md

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@@ -23,7 +23,7 @@ In your own code, you most likely won't need all of these packages. Pick and cho
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If you will be using these tools as part of a bigger project, it's strongly recommended to create a [Julia Project](https://pkgdocs.julialang.org/v1/environments/) to record package versions. If you're just experimenting, you can create a temporary project by running `] activate --temp`.
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If you're using [Pluto notebooks](https://github.com/fonsp/Pluto.jl), installing and recording package versions in a project are handled for you automatically.
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If you're using [Pluto notebooks](https:/plutojl.org), installing and recording package versions in a project are handled for you automatically.
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## Generating the data

docs/src/tutorials/jwst-image-scale-bar.md

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pkg> activate --temp
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```
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If you're using [Pluto notebooks](https://github.com/fonsp/Pluto.jl), installing and recording package versions in a project are handled for you automatically.
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If you're using [Pluto notebooks](https://plutojl.org), installing and recording package versions in a project are handled for you automatically.
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## Downloading the data

docs/src/tutorials/tabular-data.md

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In these examples, we will fetch and load the Hipparcos-GAIA Catalog of Accelerations [(HGCA, Brandt et al 2021)](https://iopscience.iop.org/article/10.3847/1538-4365/abf93c).
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This catalog cross matches stars from the Hipparcos and GAIA catalogs in order to calculate the long term astrometric proper motion anomaly; that is, the star's deviation from straight line motion in the plane of the sky over the ~20 baseline between the two missions.
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A wide range of tabular data formats are supported in Julia under a common [Tables.jl interface](https://tables.juliadata.org). For example,
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[CSV](https://github.com/JuliaData/CSV.jl.git), [Excel](https://github.com/felipenoris/XLSX.jl.git), [Arrow](https://github.com/apache/arrow-julia), [CASA Tables](http://mweastwood.info/CasaCore.jl/stable/), and various SQL formats to name a few.
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A wide range of tabular data formats are supported in Julia under a common [Tables.jl interface](https://tables.juliadata.org). For example,
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[CSV](https://csv.juliadata.org), [Excel](https://felipenoris.github.io/XLSX.jl), [Arrow](https://github.com/apache/arrow-julia), [CASA Tables](http://mweastwood.info/CasaCore.jl/stable/), and various SQL formats to name a few.
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## Packages
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If you will be using these tools as part of a larger project, it's strongly recommended to create a [Julia Project](https://pkgdocs.julialang.org/v1/environments/) to record package versions. If you're just experimenting, you can create a temporary project by running `] activate --temp`.
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If you're using [Pluto notebooks](https://github.com/fonsp/Pluto.jl), installing and recording package versions in a project are handled for you automatically.
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If you're using [Pluto notebooks](https://plutojl.org), installing and recording package versions in a project are handled for you automatically.
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