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#rstudio

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Ich brauche Hilfe beim #Update en ab #linux #mint uma mind. bis auf Version 22, damit ich #rstudio nutzen kann. Über den Anwendungsmanager wird leider gar kein mögliches Update mehr angezeigt und über's terminal mit mintupdate scheint es zu funktionieren, doch dann gibt's eine #fehlermeldung. Ich bin gar keine pro und für Rumprobieren hab ich gerade nicht die Zeit :/ kann mir da jemand helfen? Auf ein zwei Kaffee oder so :) oder wäre das etwas für's #haecksen treffen heute?

#R

Suis-je bien en train d'essayer de récupérer des données via le #SRU de la #BNF... ? Oui.
Est-ce que je récupère ce que je veux ? Pas vraiment.
Qu'est-ce qu'on ferait pas pour ses collègues hein...

Edit : je récupère bien ce que je vais, il faut juste que j'en fasse un dataframe dans #Rstudio 😱 🚣‍♀️ (ou comment le truc qui était compris il y a 25 jours devient obscur là tout d'un coup)

The truly important reason to try the #positron R/Python editor is that it can work in parallel with another R session open in #RStudio for a different project...

Also amazed by the #Pluto notebook for #Julia scientific work. One of its nice features is that the associated file is in text format and the code can be easily extracted. Not yet ready to switch from #ggplot to #VegaLite though.

positron.posit.co/start.html
plutojl.org/
#rstat

positron.posit.coGet Started – Positron

Wrote this whole #emacs config because of the increasing presence of pay-to-use workbenches in #research. I find it more complete and flexible than #jupyter or #rstudio. Give it a go!

GitHub - lf-araujo/workbenchless: Single-file Emacs configuration for a powerful scientific Notebook system that works flawlessly over ssh.
github.com/lf-araujo/workbench

GitHubGitHub - lf-araujo/workbenchless: Single-file Emacs configuration for a powerful scientific Notebook system that works flawlessly over ssh.Single-file Emacs configuration for a powerful scientific Notebook system that works flawlessly over ssh. - lf-araujo/workbenchless

Something I've noticed already a few #RStudio updates ago: whenever I open a new project in RStudio, it stays grey for 5 to 20 seconds before it fires up. Especially when there's another instance open already this delay is obvious. That's also a lot longer than it used to.

I still appreciate the IDE, but I have the feeling @Posit is cluttering the IDE so much that performance starts to suffer.

#rstats

PS: this is on #Windows (alas)

@LinuxTorvaldIsGod I know that #GTK is very popular among developers on the #Linux platform, but isn't it possible to find alternatives for all of these applications [1]?

The #KDE / #QT ecosystem also has excellent applications (#Krita, #LibreOffice QT, #KDEnlive, #Shotcut, #QGIS, #DigiKam, #OBSStudio, #Friction, #PDF4QT, ...). There are many #Electron-based applications (#Chromium, #RStudio, #Slack, ...) and those applications using other toolkits (#Blender, ...)

[1] github.com/valpackett/awesome-

GitHubGitHub - valpackett/awesome-gtk: List of awesome GTK (3/4) applicationsList of awesome GTK (3/4) applications. Contribute to valpackett/awesome-gtk development by creating an account on GitHub.

Dear scientists, especially the R-community:

The NZ government wants to scrap all soc social sciences and humanities. 🤯

I probably don't have to explain why this is a totally bonkers milei-ish idea. (maybe just add the detail that Māori researchers will be overproportionally affected by these budget cuts, but this is probably anyway a feature of the plan)

I address the #RStats community explicitely, since R was developed in Aotearoa. And here in the Fediverse we are *many* R nerds!

So, @kjhealy or other kiwis, is there something the international academic community could do to express our thoughts and support your struggle?

mastodon.social/@kjhealy/11364

MastodonKieran Healy (@kjhealy@mastodon.social)Attached: 1 image Small example of a useless New Zealand academic research project (with strong Māori representation) expressly designed to not directly be commercially viable and not innovative insofar as it copied an existing product on the market.

I'm starting a new research project and I want to use #python to force myself to learn new skills. What is the current best practice for creating reproducible reports in the python world? I dislike jupyter notbooks with a passion, so I'm leaning towards #quartopub. What would be the best IDE to manage a project running on a remote machine? Would #rstudio server work for that or should I use something else?