fix: clarify package description and improve style comparison formatting in index.md

Author: c0rychu

docs/index.md

@@ -2,7 +2,7 @@
 
 ## What is `physics-plot`?
 
-`physics-plot` is a lightweight python package shipping a [Matplotlib style sheet](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html) called [`pp_base.mplstyle`](https://github.com/c0rychu/physics-plot/blob/main/src/physics_plot/pp_base.mplstyle) and a few helper functions to create publication-quality plots with minimal effort.
+`physics-plot` is essentially a zero dependency python package shipping a Matplotlib style sheet [^mplstyle] — [`pp_base.mplstyle`](https://github.com/c0rychu/physics-plot/blob/main/src/physics_plot/pp_base.mplstyle) to create publication-quality plots with minimal effort. In addition, a few optional helper classes are provided.
 
 An example Bode plot created with `physics-plot` looks like this:
 ![Bode plot](fig/[email protected])
@@ -12,7 +12,7 @@ An example Bode plot created with `physics-plot` looks like this:
 
 Here's a side-by-side comparison of plotting with the `physics-plot` style and the Matplotlib default style:
 
-| *`physics-plot` style.* | *Matplotlib default style.* |
+| `physics-plot` style | Matplotlib default style |
 |:--:|:--:|
 | <img src="fig/[email protected]" width="400"> | <img src="fig/[email protected]" width="400"> |
 
@@ -45,4 +45,7 @@ with plt.style.context("physics_plot.pp_base"):
     # ======================= #
 ```
 
-Yes! That's it! You are now ready to create beautiful, publication-quality plots with minimal effort using the `physics-plot` style. Enjoy plotting!
+Yes! That's it! You are now ready to create beautiful, publication-quality plots with minimal effort using the `physics-plot` style. Enjoy plotting!
+
+
+[^mplstyle]: Matplotlib style sheets (`.mplstyle` files) are configuration files that define the default appearance of plots created with Matplotlib. They allow users to customize various aspects of plot aesthetics, such as colors, fonts, line styles, and more, by specifying these settings in a structured format. See [Matplotlib Style Sheets Reference](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html) for more details.