From 996efc92276385639fb904b352ea57c253e85cd7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Simon=20H=C3=B8xbro=20Hansen?= <simon.hansen@me.com>
Date: Wed, 9 Oct 2024 11:12:50 +0200
Subject: [PATCH] docs: Update image links in README (#1433)

---
 README.md | 14 ++++----------
 1 file changed, 4 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index d2bf28a03..5f496cab9 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@
 
 The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.
 
-<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
+<img src="https://assets.holoviz.org/hvplot/hvplot-total-intro.gif" style="max-height:600px;border-radius:2%;">
 
 ## hvPlot works with the tools you know and love
 
@@ -36,7 +36,7 @@ hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/)
 
 Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.
 
-<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
+<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://assets.holoviz.org/hvplot/interactive_dashboard.gif" style="max-height:600px;border-radius:2%;"></a>
 
 ## Mini getting-started
 
@@ -56,12 +56,6 @@ or with ``pip``:
 pip install hvplot
 ```
 
-Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:
-
-```bash
-jupyter labextension install @pyviz/jupyterlab_pyviz
-```
-
 ### Plotting data
 
 Work with your data source:
@@ -87,7 +81,7 @@ Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
 df.hvplot()
 ```
 
-[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
+[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-plot.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
 
 
 ### Interactive data apps
@@ -101,7 +95,7 @@ pn.extension()
 df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
 ```
 
-[<img src="https://github.com/MarcSkovMadsen/old-awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
+[<img src="https://assets.holoviz.org/hvplot/hvplot-intro-interactive.gif" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
 
 ### How to find documentation from your notebook or editor