Added overview article

pyviz · Aug 31, 2024 · b261194 · b261194
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@@ -6,6 +6,8 @@ The Python visualization landscape can seem daunting at first. These overviews a
 
 <em>Adaptation of <a href="https://www.youtube.com/watch?v=FytuB8nFHPQ">Jake VanderPlas' graphic</a> about the Python visualization landscape, by Nicolas P. Rougier</em>
 
+- [The Power of Pandas Plots: Backends](https://towardsdatascience.com/the-power-of-pandas-plots-backends-6a08d52071d2), 29 Aug 2024: Pierre-Etienne Toulemonde. Comparing matplotlib, plotly, and hvPlot for plotting with Pandas.
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 - [7 Best Python Libraries For Data Visualisation](https://medium.com/@inverita/7-best-python-libraries-for-data-visualisation-517020f725a4), 25 Jan 2024: inVerita. Comparing Matplotlib, Seaborn, Plotly, Bokeh, Altair, and HoloViews.
 
 - [Top-5 Python Frontend Libraries for Data Science, part 2](https://python.plainenglish.io/top-5-python-frontend-libraries-for-data-science-part-2-4d07a48d2fde), 31 Mar 2024: Artem  Shelamanov. Comparing Voila, PyWebIO, Gradio, Panel, and Dash.