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.
-
+
## 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.
-
+
## 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()
```
-[
](https://hvplot.holoviz.org/user_guide/index.html)
+[
](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))
```
-[
](https://hvplot.holoviz.org/user_guide/Interactive.html)
+[
](https://hvplot.holoviz.org/user_guide/Interactive.html)
### How to find documentation from your notebook or editor