DOC: Install in virtual env

closes #36

Author: has2k1

README.md

@@ -1,6 +1,5 @@
 # A Jupyter/IPython kernel for Gnuplot
 
-
 [![Release](https://img.shields.io/pypi/v/gnuplot_kernel.svg)](https://pypi.python.org/pypi/gnuplot_kernel)
 [![License](https://img.shields.io/pypi/l/gnuplot_kernel.svg)](https://pypi.python.org/pypi/gnuplot_kernel)
 [![Build Status](https://github.com/has2k1/plotnine/workflows/build/badge.svg?branch=main)](https://github.com/has2k1/plotnine/actions?query=branch%3Amain+workflow%3A%22build%22)
@@ -12,18 +11,48 @@ as `python` code.
 
 ## Installation
 
-Official release
+It is good practice to install `gnuplot_kernel` in a virtual environment.
+We recommend using [uv](https://docs.astral.sh/uv/getting-started/installation/) or
+[python venv](https://docs.python.org/3/library/venv.html).
+
+### Option 1: Using `uv`
 
 ```console
-$ pip install gnuplot_kernel
-$ python -m gnuplot_kernel install --user
+$ uv venv
 ```
 
+**Official release**
+
+```console
+$ uv pip install gnuplot_kernel
+$ uv python -m gnuplot_kernel install --user
+```
 
 The last command installs a kernel spec file for the current python installation. This
 is the file that allows you to choose a jupyter kernel in a notebook.
 
-Development version
+**Development version**
+
+
+```console
+$ uv pip install git+https://github.com/has2k1/gnuplot_kernel.git@master
+$ uv python -m gnuplot_kernel install --user
+```
+
+### Option 2: Using `python venv`
+
+```console
+$ python3 -m venv .venv && source .venv/bin/activate
+```
+
+**Official release**
+
+```console
+$ pip install gnuplot_kernel
+$ python -m gnuplot_kernel install --user
+```
+
+**Development version**
 
 ```console
 $ pip install git+https://github.com/has2k1/gnuplot_kernel.git@master