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Remove more references to old jupyter support from README
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Diff for: README.md

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</a>
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</div>
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## Quickstart
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`pip install plotly==5.24.1`
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Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
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```python
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import plotly.express as px
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fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
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See the [Python documentation](https://plotly.com/python/) for more examples.
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## Overview
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[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:
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## Installation
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plotly.py may be installed using pip...
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plotly.py may be installed using pip
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```
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pip install plotly==5.24.1
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conda install -c plotly plotly=5.24.1
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```
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### JupyterLab Support
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For use in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/), install the `jupyterlab` and `ipywidgets`
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packages using `pip`:
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```
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pip install "jupyterlab>=3" "ipywidgets>=7.6"
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```
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or `conda`:
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```
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conda install "jupyterlab>=3" "ipywidgets>=7.6"
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```
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The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**, run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
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Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.
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### Jupyter Widget Support
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For use as a Jupyter widget, install `jupyter` and `anywidget`
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packages using `pip`:
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```
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pip install jupyter anywidget
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pip install jupyter anywidget
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```
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or `conda`:
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#### Kaleido
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The [`kaleido`](https://github.com/plotly/Kaleido) package has no dependencies and can be installed
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using pip...
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using pip
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```
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pip install -U kaleido
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```
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or conda.
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or conda
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```
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conda install -c conda-forge 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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