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remove orca section
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doc/python/getting-started.md

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@@ -184,8 +184,8 @@ See [_Displaying Figures in Python_](/python/renderers/) for more information on
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plotly.py supports [static image export](https://plotly.com/python/static-image-export/),
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using the either the [`kaleido`](https://github.com/plotly/Kaleido)
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package (recommended, supported as of `plotly` version 4.9) or the [orca](https://github.com/plotly/orca)
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command line utility (legacy as of `plotly` version 4.9).
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package (recommended, supported as of `plotly` version 4.9) or [`orca`](https://github.com/plotly/orca)
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command line utility (deprecated and will be removed after September 2025).
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#### Kaleido
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$ conda install -c plotly python-kaleido
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```
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#### Orca
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While Kaleido is now the recommended image export approach because it is easier to install
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and more widely compatible, [static image export](https://plotly.com/python/static-image-export/)
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can also be supported
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by the legacy [orca](https://github.com/plotly/orca) command line utility and the
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[`psutil`](https://github.com/giampaolo/psutil) Python package.
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These dependencies can both be installed using conda:
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```
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conda install -c plotly plotly-orca==1.3.1 psutil
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```
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Or, `psutil` can be installed using pip...
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```
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pip install psutil
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```
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and orca can be installed according to the instructions in the [orca README](https://github.com/plotly/orca).
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#### Extended Geo Support
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Some plotly.py features rely on fairly large geographic shape files. The county

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