This document lists the basics on how to edit the course website accessible at https://pde-on-gpu.vaw.ethz.ch/.
🚧 More to come soon.
To test the website locally (or after making a pull from Git):
julia> using Franklin, NodeJS
julia> serve(clear=true)
Note the first time you are using
NodeJS
, you need to execute:
julia> run(`sudo $(npm_cmd()) install highlight.js`)
To embed YouTube videos, go to YouTube, click on the Share
link and then <Embed>
, and copy-paste the script into an html block:
~~~
<iframe width="560" height="315" src="https://www.youtube.com/embed/DvlM0w6lYEY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
~~~
Using Literate.jl
permit to write a single .jl
source file that can contain Julia code and markdown comments and can be transformed into a markdown page, a notebook and notebook-based slides. The website build with Franklin.jl
has native support to integrate .jl
scripts ready to me processed by Literate.jl
in markdown.
To allow mdstring
to render correctly in Franklin, one need to set the page variable literate_mds = true
. See here for details.
To disable code execution but allow rendering on the website, one needs to set the page variable noeval = true
. See here for details.
-
Create a Literate-ready
my_script.jl
script -
Place it in the
_literate
folder -
Add
\literate{/_literate/my_script.jl}
in the website page you want to includemy_script.jl
markdown rendering -
Done
Note that there are 2 pre-defined box environments to highlight note and warning. Use them as following:
#md # \note{...}
#md # \warn{...}
Running the deploy_notebooks.jl
scripts located in slide-notebooks and exercise-notebooks folder will:
- create
.ipynb
from the.jl
script - move the
.ipynb
and figures to the./notebook
folder (and./notebook/figures
) - create a
_web.jl
script and move it towebsite/_literate
to be included in the website lecture pages. Figure links in the_web.jl
files are changes from./figures/
to../website/_assets/literate_figures/
for correct rendering in html file. - create, if needed, a figures folder in
website/_assets/literate_figures
folder to hold figures for Literate scripts - 💡 both deploy script contain a variable
incl::String
you can set to only include specific scripts (e.g.incl=l2
,incl=lecture2
)
Important note: The deploy_notebooks.jl
script in slide-notebooks makes it possible to preprocess the Literate script for hints and solution keywords:
## Set `sol=true` to produce output with solutions contained and hints stripts. Otherwise the other way around.
sol = true
You can populate lines beginning of Literate script with #hint=
or #sol=
which will permit to corresponding lines to be removed upon preprocessing (e.g. before / after the lecture).
To deploy notebooks
- Run the deploy script from its folder
- Include the correct
_web.jl
filename in e.g.website/lectureXY.md
file - Push
- In Julia, load Literate and export
my_script.jl
as a notebook:
julia> using Literate
julia> Literate.notebook("my_scritp.jl", outputdir=pwd())
- Then load IJulia and launch the notebook for the given path
julia> using IJulia
julia> notebook(dir="/some/path")
- To allow for slide rendering as slide, subslide or fragment, populate
my_script.jl
"source" code with
#nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide/subslide/fragment"}}
-
To view the notebook as a slideshow, install the RISE plugin.
-
Open the notebook as in here
-
Press
alt-r
to start. Use spacebar to advance.
In the second edition, we prefer mp4
instead of gif
. Using FFMPEG, one can swiftly convert gifs into mp4:
run(`ffmpeg -i input_anim.gif -c libx264 -pix_fmt yuv420p -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2:color=white" -y output_anim.mp4`)
Or generate them from png
s:
run(`ffmpeg -framerate 30 -i %%04d.png -c libx264 -pix_fmt yuv420p -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2:color=white" -y output_anim.mp4`)
The mp4
animation can then be embedded as follow in Literate.jl
scripts:
#md # ~~~
# <center>
# <video width="80%" autoplay loop controls src="./path-to-anim/anim.mp4"/>
# </center>
#md # ~~~
or directly into .md
scripts as
<center>
<video width="80%" autoplay loop controls src="./path-to-anim/anim.mp4"/>
</center>
You can use gifsicle as command line tool to modify the loopcount for gifs to be included in the scripts (tested on MacOS):
gifsicle gif_loopcount_inf.gif --no-loopcount > new_gif_no_loopcount.gif
gifsicle gif_loopcount_inf.gif --loop=3 > new_gif_loopcount_3.gif
Put in _layout/head
the following, before the opening of the body and after the loading of the css:
<style>
.content {max-width: 50rem}
</style>