doc: add uv to installation instructions

Author: juba

README.md

@@ -36,23 +36,34 @@ Plot.plot({
 
 ## Installation and usage
 
-`pyobsplot` can be installed with `pip`:
+`pyobsplot` can be installed with `uv` or `pip`:
+
+::: {.panel-tabset}
+
+## uv
+
+```sh
+uv add pyobsplot[typst]
+```
+
+## pip
 
 ```sh
 pip install pyobsplot[typst]
 ```
 
+:::
+
 To use `pyobsplot` in [JupyterLite](https://jupyter.org/try-jupyter/lab/) or [marimo](https://marimo.io) you must install it without the `typst` dependency, which is not yet compatible with [pyodide](https://pyodide.org/en/stable/):
 
 ```sh
 pip install pyobsplot
 ```
 
-
 For usage instructions, see the [documentation website](https://juba.github.io/pyobsplot):
 
--   See [getting started](https://juba.github.io/pyobsplot/getting_started.html) for a quick usage overview.
--   See [usage](https://juba.github.io/pyobsplot/usage.html) for more detailed usage instructions.
+- See [getting started](https://juba.github.io/pyobsplot/getting_started.html) for a quick usage overview.
+- See [usage](https://juba.github.io/pyobsplot/usage.html) for more detailed usage instructions.
 
 If you just want to try this package without installing it on your computer, you can open an introduction notebook in Google Colab:
 
@@ -62,25 +73,25 @@ If you just want to try this package without installing it on your computer, you
 
 **Features:**
 
--   Syntax as close as possible to the JavaScript one
--   Plots can be generated as Jupyter widgets, or as SVG, HTML or PNG outputs (via typst)
--   Plots can be saved to Widget HTML, static HTML, SVG, PNG or PDF files
--   [Pandas](https://pandas.pydata.org) and [polars](https://pola.rs) DataFrame and Series objects are serialized using [Arrow](https://arrow.apache.org) IPC format for improved speed and better data type conversions
--   Works with Jupyter, JupyterLite and Marimo notebooks as well as in Quarto documents
--   Works offline, no iframe or dependency to Observable runtime
--   Caching mechanism of data objects if they are used several times in the same plot
--   Custom JavaScript code can be passed as strings with the `js` method
--   Python `date` and `datetime` objects are automatically converted to JavaScript `Date` objects
+- Syntax as close as possible to the JavaScript one
+- Plots can be generated as Jupyter widgets, or as SVG, HTML or PNG outputs (via typst)
+- Plots can be saved to Widget HTML, static HTML, SVG, PNG or PDF files
+- [Pandas](https://pandas.pydata.org) and [polars](https://pola.rs) DataFrame and Series objects are serialized using [Arrow](https://arrow.apache.org) IPC format for improved speed and better data type conversions
+- Works with Jupyter, JupyterLite and Marimo notebooks as well as in Quarto documents
+- Works offline, no iframe or dependency to Observable runtime
+- Caching mechanism of data objects if they are used several times in the same plot
+- Custom JavaScript code can be passed as strings with the `js` method
+- Python `date` and `datetime` objects are automatically converted to JavaScript `Date` objects
 
 **Limitations:**
 
--   Plot interactions (tooltips, crosshair...) are only available with the "widget" format (<https://github.com/juba/pyobsplot/issues/16>).
--   Very limited integration with IDE (documentation and autocompletion) for Plot methods. (<https://github.com/juba/pyobsplot/issues/13>)
+- Plot interactions (tooltips, crosshair...) are only available with the "widget" format (<https://github.com/juba/pyobsplot/issues/16>).
+- Very limited integration with IDE (documentation and autocompletion) for Plot methods. (<https://github.com/juba/pyobsplot/issues/13>)
 
 ## Credits
 
--   [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot), developed by [Mike Bostock](https://observablehq.com/@mbostock) and [Philippe Rivière](https://observablehq.com/@fil) among others.
--   The widget is developed thanks to the [anywidget](https://anywidget.dev) framework.
--   [typst](https://typst.app) is used to convert HTML figures to PNG, SVG or PDF.
--   Some code from the `jsdom` renderer has been adapted from [altair_saver](https://github.com/altair-viz/altair_saver).
--   The documentation website is generated by [Quarto](https://quarto.org).
+- [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot), developed by [Mike Bostock](https://observablehq.com/@mbostock) and [Philippe Rivière](https://observablehq.com/@fil) among others.
+- The widget is developed thanks to the [anywidget](https://anywidget.dev) framework.
+- [typst](https://typst.app) is used to convert HTML figures to PNG, SVG or PDF.
+- Some code from the `jsdom` renderer has been adapted from [altair_saver](https://github.com/altair-viz/altair_saver).
+- The documentation website is generated by [Quarto](https://quarto.org).

doc/getting_started.qmd

@@ -6,12 +6,24 @@ title: "Getting started"
 
 ## Installation
 
-`pyobsplot` can be installed with `pip`:
+`pyobsplot` can be installed with `uv` or `pip`:
+
+::: {.panel-tabset}
+
+## uv
+
+```sh
+uv add pyobsplot[typst]
+```
+
+## pip
 
 ```sh
 pip install pyobsplot[typst]
 ```
 
+:::
+
 If you want to use output formats like PNG or SVG, you must have a working installation of [node.js](https://nodejs.org/en) and you must install the `pyobsplot` npm package globally or locally:
 
 ```sh
@@ -27,7 +39,6 @@ To use `pyobsplot` in [jupyter lite](https://jupyter.org/try-jupyter/lab/) or [m
 pip install pyobsplot
 ```
 
-
 ## Creating a plot
 
 To use `pyobsplot`, you must import its `Plot` object with:
@@ -55,12 +66,10 @@ data = pl.DataFrame(
 If your JavaScript plot function looks like this:
 
 ```javascript
-Plot.plot(
-    {
-        grid: true,
-        marks: [Plot.dot(data, {x: "x", y: "y", fill: "type", r: 5})]
-    }
-)
+Plot.plot({
+    grid: true,
+    marks: [Plot.dot(data, { x: "x", y: "y", fill: "type", r: 5 })],
+})
 ```
 
 Then you can reproduce the plot with:
@@ -117,7 +126,6 @@ Plot.plot(Plot.auto(penguins, {"x": "flipper_length_mm"}), path="plot.svg")
 With the "widget" format, export can only be done to HTML files.
 :::
 
-
 ## Learn more
 
 To go further, see the [usage](usage.qmd) page.