admin2/manual_teachbooks
1
0
Fork 0
mirror of https://github.com/TeachBooks/manual.git synced 2026-11-13 14:55:51 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

set3

Browse source
This commit is contained in:
Julie Kirsch 2024-11-05 21:03:29 +01:00
parent c872028868
commit 2f6943ad37
6 changed files with 39 additions and 38 deletions
Download patch file Download diff file Expand all files Collapse all files

1
book/features/live_code.ipynb
View file

@ -153,6 +153,7 @@
"metadata": {},
"source": [
"## Alternative with JupyterLite (less well integrated)\n",
"\n",
"Another option to use python in your browser is to use JupyterLite. However, this doesn't give a similar seamless interface. You could create 'iframe-like' Ipython consoles / jupyterbook / jupyter lab environments in your book. As these 'iframes' are separate modules added to your page, the integration with the other content in your book is less flexible as with our sphinx-thebe extension. Furthermore, the best way to use a JupyterLite session would be a separate repo with the jupyter lab interface anyway, so you get the full browser experience. Alternatively, the ipython REPL better can be usefull, as shown here: https://teachbooks.github.io/learn-python/main/Python_Toolbox.html."
]
}

2
book/features/widgets.ipynb
View file

@ -6,7 +6,7 @@
"source": [
"# Ipywidgets\n",
"\n",
"If you publish widgets in a jupyter book they might (depending on your implementation) require an active python kernel for the output to be interactive. Using the [thebe-integration](live_code.md), this is possible. Note: You can circumvent the use of a kernel by using packages which don't need such a kernel, for example the [non-kernel-based widgets using Plotly](interactive_element).\n",
"If you publish widgets in a jupyter book they might (depending on your implementation) require an active python kernel for the output to be interactive. Using the [thebe-integration](../examples/live_code.md), this is possible. Note: You can circumvent the use of a kernel by using packages which don't need such a kernel, for example the [non-kernel-based widgets using Plotly](interactive_element).\n",
"\n",
"## `matplotlib` widgets\n",
"When you'd like to use `ipywidgets` in combinations with a `matplotlib` figure, import the following packages:\n",