Hi.
In this video we will learn about multiple possibilities for downloading and
exporting the notebook from the ui. We'll not cover all of the options,
but only the most interesting ones.
Go to file download Ss.
First option, uh, which you will use from time to time,
is to download the notebook, uh,
as it is without any conversion in the IPI and B format.
Another very useful option is to download the notebook as H T M L,
but it has couple of disadvantages as we will see.
Let's open it. Uh,
you'll notice that, uh, uh,
the table of contents is not embedded in the HTML file.
We see that, uh, data frames are nicely embedded,
also are plotly charts, uh, with the preserved interactivity.
The static charts from Seaborne and Gigi plot are embedded, uh,
as well. But, uh, the picture,
uh, which we, uh, try to show in the notebook I was not generated.
This is the second disadvantage.
In the next video, I will show you the way how to have H T M L file,
which contains everything, a table of content charts, uh,
interactive charts and picture as well.
Let's go back to our notebook.
The next, uh,
very useful option is to download the notebook as P D F via
lax.
Okay, it's done. Uh,
this option is very nice for the scientific look of your analysis. Uh,
we can see the table of contents is nicely embedded,
but the output, like, uh,
data frames list and so on are not truncated. Uh,
so you have to adapt the output in the notebook a little bit.
You can truncate the output by limiting number of rows and colors,
which are shown. For example,
discoloration matrix, uh, is too long.
TTX is embedded very nicely as well. The pictures too,
uh, but the plotly charts, uh, which should be interactive in H T M L are,
uh, not shown at all in the V D F file.
We also see here the option to save the notebook as H T M L with table of
content, uh, but not sure for what reason it is not working.
Uh, I think it is because, uh,
some dependency issues of the Jupyter and libraries making the conversion.
But as I mentioned, we will handle that in our next video. And
let's check the last option.
We can download the notebook, uh, in the form of, uh, reveal slides.
Uh, reveal jss, uh, is a JavaScript framework, uh,
for doing beautiful interactive H T M L presentations. Uh,
the notebook needs to be adapted a little bit. Uh,
so now let's open another file, which I prepared
open this file module zero four slides I and B,
and let's export it first. So we'll see the output.
You can move, uh, through the presentation in, uh,
x and Y axis and what is best. Uh,
it can have interactive charts like, uh, plotly embedded
and their interactivity is preserved as well.
LAX is nicely generated too. LA charts as well.
Now let's see how I made it. Let's go back to the file.
You have to activate the cell toolbar first.
Go to view cell toolbar and slideshow.
Then we'll able to see and to set the slide type.
There are multiple slide types. Uh, I just use the slide, sub slide or fragment.
With slide. You move, uh,
left to right and with sub slide you move up or down.
And with fragment, uh,
you show only the section on key heat in the current slide.
Other cells must not have, uh,
slide type selected only if you want to skip the cell or when
you want to write notes.
Okay. Uh, in our next video,
we will learn how to run the notebook and export it via terminal.