From 394585980ed288a491cc18bf4cdda944b99efbd8 Mon Sep 17 00:00:00 2001
From: Robin
Date: Mon, 26 Nov 2018 08:40:52 +0000
Subject: [PATCH] Update installation.markdown (#7635)
---
source/_docs/ecosystem/notebooks/installation.markdown | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/source/_docs/ecosystem/notebooks/installation.markdown b/source/_docs/ecosystem/notebooks/installation.markdown
index 4d3fc06b608..eb0b16a7982 100644
--- a/source/_docs/ecosystem/notebooks/installation.markdown
+++ b/source/_docs/ecosystem/notebooks/installation.markdown
@@ -20,7 +20,7 @@ $ pip3 install jupyter matplotlib
Certain notebooks hosted in the [Home Assistant notebooks repository](https://github.com/home-assistant/home-assistant-notebooks) require access to a running Home Assistant instance or parts of a Home Assistant installation. If you want to run those notebooks, install Home Assistant with `$ pip3 install homeassistant` as well.
-Now you are able to start the application.
+Run Jupyter from the command line.
```bash
$ jupyter notebook
@@ -37,7 +37,7 @@ Open [http://localhost:8888/](http://localhost:8888/) in your browser. Press "Ne
-You will get an empty notebook with one cell. Cells can contain code or text. To get the output of a cell you need to execute them with "Cell" -> "Run Cells" from the menu or by pressing the icon.
+You will get an empty notebook with one cell. Cells can contain code or text. To get the output of a cell you need to execute them with "Cell" -> "Run Cells" from the menu or by pressing the Play icon.
@@ -46,6 +46,6 @@ You will get an empty notebook with one cell. Cells can contain code or text. To
The downloadable version of this notebook is available in the [Home Assistant notebooks repository](https://github.com/home-assistant/home-assistant-notebooks/blob/master/first-notebook.ipynb).
-As you can see is the workflow very similar to working directly with a Python shell. One advantage is that you can go back and forth as you please and save your work.
+As you can see is the Jupyter notebook workflow is very similar to working directly with a Python shell. One advantage of notebooks is that you can go back and forth between cells as you please and save your work.