jeans/home-assistant.io
jeans/home-assistant.io
1
0
Fork 0
mirror of https://github.com/home-assistant/home-assistant.io.git synced 2025-07-21 16:27:19 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update installation.markdown (#7635)

Browse Source
This commit is contained in:
Robin 2018-11-26 08:40:52 +00:00 committed by Fabian Affolter
parent b5d178be48
commit 394585980e
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
source/_docs/ecosystem/notebooks/installation.markdown
View File

@ -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.
</p>
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
<img src='{{site_root}}/images/screenshots/jupyter-new.png' />
</p>
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.
<p class='img'>
<img src='{{site_root}}/images/screenshots/jupyter-notebook.png' />
@ -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.