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Update website description #596

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4213add
Merge pull request #28 from NCAR/main
jukent Feb 27, 2024
ec9498a
Update index.rst
jukent Feb 27, 2024
862d71a
Update README.rst
jukent Feb 27, 2024
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Update README.rst
jukent Feb 27, 2024
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7 changes: 7 additions & 0 deletions Gallery/README.rst
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Expand Up @@ -9,6 +9,13 @@ Gallery
This gallery contains visualization examples from many plotting categories
of geosciences data.

Specifically, visualizations in this repository are intended to demonstrate Python ways of generating figures akin to the [NCL Application Examples website](https://ncl.ucar.edu/Applications/).

A primary objective of this project is to identify any NCL plotting functionality that is missing from
the popular Matplotlib + Cartopy toolchain, so each contributed script, if originating from NCL, should
contain a best-effort attempt at reproducing an NCL graphic as closely as possible without using NCL or PyNGL.
Read more about [NCAR's pivot-to-python](https://www.ncl.ucar.edu/Document/Pivot_to_Python/).

For visualization, mainly `matplotlib` and `cartopy` are used. In addition,
`geocat-datafiles <https://github.com/NCAR/geocat-datafiles>`_ is used as a
dataset storage and `geocat-viz <https://github.com/NCAR/geocat-viz>`_ is used for
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7 changes: 7 additions & 0 deletions docs/index.rst
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Expand Up @@ -4,6 +4,13 @@ GeoCAT-examples Documentation
This gallery contains visualization examples from many plotting categories
of geosciences data.

Specifically, visualizations in this repository are intended to demonstrate Python ways of generating figures akin to the [NCL Application Examples website](https://ncl.ucar.edu/Applications/).

A primary objective of this project is to identify any NCL plotting functionality that is missing from
the popular Matplotlib + Cartopy toolchain, so each contributed script, if originating from NCL, should
contain a best-effort attempt at reproducing an NCL graphic as closely as possible without using NCL or PyNGL.
Read more about [NCAR's pivot-to-python](https://www.ncl.ucar.edu/Document/Pivot_to_Python/).

For visualization, mainly `matplotlib` and `cartopy` are used. In addition,
`geocat-datafiles <https://github.com/NCAR/geocat-datafiles>`_ is used as a
dataset storage and `geocat-viz <https://github.com/NCAR/geocat-viz>`_ is used for
Expand Down
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