Video

This is such a huge feature for R and open source analysis software. Great work, Posit

I have a package that uses rJava to launch a jar and am having trouble converting it to wasm. Do you know if this is possible? I tried using the docker image, installing java in it, and converting rJava first, but get Make sure you have Java Development Kit installed and correctly registered in R. If in doubt, re-run "R CMD javareconf" as root. emconfigure: error: 'sh -c "./configure.orig --build=x86_64-pc-linux-gnu --host=wasm32-unknown-emscripten ac_cv_func_getrandom=no"' failed (returned 1) I tried the suggestion and still can't seem to figure it out.

Love this, thanks for sharing!

can we do this with shinylive python

Thanks for making this short overview/demo video - great to see what can be done with shinylive and also how to do it.

at 8.28 you mention, that Shiny running in the browser can call out to an API with a secret database. But the httr2 package is not supported as I know. Did I miss something?

This is great🎉

This is actually huge, much appreciated.

I wish I could find a playlist with these videos in order....

lol the begining of the video made me look for the skip this add button :P

Súper

I get could not find function "%replace%" \:

this guy is so smart he was even to make jokes while showing some of the more complicated concepts in R

found deployment quite difficult it says no distribution found of library

¿Do you have any idea if you can write R and Python in the same script and then deploy the app?

Great

I can appreciate that there are more Python developers than R developers but it was R users that made/make RStudio/RMarkdown and Quarto great. I can appreciate the decision to make services more appealing to Python developers but I think it's a kind of betrayal of R users. Not even 1 code chunk was in R. R users deserve care too😅

This workflow is so beautiful that I want to cry out of pure joy.

Great presentation!!! Thanks for sharing knowledge.

Excellent presentation

Hello all! Thanks for joining! At 11:30 am ET, we will jump over to Live Q&A in this CZcams room: czcams.com/users/lived21PQyOGlgY

Hello all.

Hello all

Very different thumbnail than Posit usually puts out. More immature vibe. Looks like they are trying to appeal to the 19 yr old data science student who is taking a break from watching Mr Beast videos to learn some Shiny for a homework assignment.

thanks

Wonder if Posit is basically for R or for python

Thanks you....great explanation... very helpful

could'nt have happend without you

Thank you. This is very helpful.

I’m more interested in the brand of tights you wear for office as mine ladders too easily😩

This is awesome! Nice work shiny team 🎉

Ed used to be my boss. 😅That makes me old too.

I was staring lady,then i realised aesthetic in dashboard, and api behaviour

I have created many shiny dashboards using promise and future for long tasks. However, I was always feeling there was a better idea out there. Then, wallla!!!, we have this. Thanks Cheng.

Thanks for the feature.❤

wow, the interviewer really nice.

Your Python dashboard is so beautiful but you worked on the Python team for Google….

This is my favorite quarto tutorial which I use for reference. Would love to see an update in 2024.

Is it possible to have html output with syntax and dashboard in the same quarto file ?

Thanks I do this all the time 😂

Useful tips!❤

I loved this. so useful and well explained. Nice job Deepsha!

George - My University is interested in loading this on one of our servers for our students to use from one of our testing centers. We are having some installation issues. Where is the best source to obtain the latest installation?

looking forward for a live code session with Daniel!

Niceee

Html to pdf does not work with me. Is there a video explaining how it works.!?

This excellent! Thank you!

I had the problem edu_res<-tune:fit_resamples(edu_wf,edu_folds) Error in `fit_resamples()`: ! Package install is required for ranger. Run `rlang::last_trace()` to see where the error occurred. Installing manually ranger library solved it (On R 4.3.3)

Excellent video. I learnt so much. You explain things at a perfect pace. Thank you.

Congrats!