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## Example 1: Calling Python from Julia
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In this example, we use `PythonCall.jl` from an IJulia notebook to inspect the Iris dataset:
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- We load the Iris dataset as a Julia `DataFrame` using `RDatasets.jl`.
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- We use `pypandasdataframe(df)` to convert it to a Python `pandas.DataFrame`.
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- We use the Python package `seaborn` to produce a pair-plot, which is automatically displayed.
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In this example, we use `PythonCall.jl` from a [`Pluto`](https://github.com/fonsp/Pluto.jl) notebook to inspect the Iris dataset:
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- We load the Iris dataset as a Julia [`DataFrame`](https://dataframes.juliadata.org/stable/) using [`RDatasets.jl`](https://github.com/JuliaStats/RDatasets.jl).
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- We use `pytable(df)` to convert it to a Python [`pandas.DataFrame`](https://pandas.pydata.org/).
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- We use the Python package [`seaborn`](https://seaborn.pydata.org/) to produce a pair-plot, which is automatically displayed.
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