vscode-R
jupyterlab-desktop
vscode-R | jupyterlab-desktop | |
---|---|---|
13 | 13 | |
1,035 | 3,369 | |
0.6% | 1.4% | |
6.4 | 9.5 | |
21 days ago | 5 days ago | |
TypeScript | TypeScript | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vscode-R
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RStudio: Integrated development environment (IDE) for R
Oh - nice, thanks - so it looks like the interactive window is also possible, but not (yet) 'properly'/'officially' supported
https://github.com/REditorSupport/vscode-R/issues/1412
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how i can make httpgd to open Histogram on web browser
See here.
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Rgui or Rstudio? And why is my Rgui blurry?
That one covers most of it but the fuller wiki is here - which is linked in that one. Often, for open source software, it’s worth looking at the GitHub/GitLab pages for documentation / links to documentation.
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Rmarkdown pointing to the wrong Latex / Miktex install -- can't even render the default page
Nothing worked, even setting env variables etc and even setting the knit command as stated in this thread in the VSCode settings: Cannot find pandoc VSCode knit
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Anyone use VS code as their IDE?
R works very well in vscode using the vscode-r extension.
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Laptop fan go whirrrr
If you haven't used it recently, the R VSCode extention is at a state now where's it's much faster and performant than VS Code, especially with the radian addon as noted in the repo.
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Questions about Using R and RMarkdown in VS Code- viewing large data frames and auto preview
I'm not an RMarkdown user, but I do know that almost all of my R in VSCode setup came from following the advice of RenKun, and one of his more recent blog posts on his recommended extensions for running R in VSCode included Live Preview as an alternative way for rendering large RMarkdown files in VSCode. See also here.
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what's the formatti learn for (advanced) presentations in 2022? Xaringan? Beamer? something else?
I would give vscode with the R extension a go sometime if you fancy trying something other than vim (but if you're happy with vim just be happy with vim!).
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Resources to help run R on Atom IDE
Personally I would look to vscode with the vscode-r extension. It’s really nice and one of its reasons for existence is making it easier to work with R instances on a server. See here.
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Running R in VS
Everybody uses the Yuki Ueda extension, so just go here and follow the installation instructions for your operating system.
jupyterlab-desktop
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RStudio: Integrated development environment (IDE) for R
An alternative in the Python world that is definitely worth looking into is the JupyterLab Desktop app, which is a standalone installer that is cross-platform and works great for beginners (no command line needed): https://github.com/jupyterlab/jupyterlab-desktop?tab=readme-...
See my other comment in the main thread with more info.
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Remote execution of code
JupyterLab Desktop supports remote server connections out of the box (you just install one locally and a plain JupyterLab on the server using pip).
- Jupyterlab/jupyterlab-desktop: JupyterLab desktop application, based on Electron
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Amazon CodeWhisperer with JupyterLab extension for Amazon SageMaker Studio - Part 4
How JupyterLab Desktop works
- Para dónde agarrar con Python?
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what's a good IDE which also has python notebook
Although jupyter notebooks work fine in VSCode you could also try jupyter desktop: https://github.com/jupyterlab/jupyterlab-desktop
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Easiest way to run Jupyter Notebooks?
You might be interested in https://jupyterlite.readthedocs.io/en/latest/ and https://github.com/jupyterlab/jupyterlab-desktop too
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Confusion about python and secretarial job?
Learning syntax of a new language is trivial, but also not very useful if you haven't learned programming in general. Learning programming is a lifelong process, you are never done with it. It's just a different way of thinking and problemsolving and there will always be problems that are just beyond you, its kind of like math or physics this way. But problems aren't unsolvable for you because you lack language, but because the problem is simply harder than what you can wrap your head around, or larger in scope than what you with limited time can pull off. But, knowing a little bit of programming and little bit of python can be a powerful thing in many jobs. Depends on which problems you need to solve of course. Get JupyterLab for desktop to play around with, it's probably worth your time. https://github.com/jupyterlab/jupyterlab-desktop
- A personal blog with articles&videos, which tech stack do you recommend?
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I can't find the jlab executable Jupyter Desktop for the command line (MacOS)
I am on the MacOS, and I would like to access the jlab executable like this webpage describes:
What are some alternatives?
RStudio Server - RStudio is an integrated development environment (IDE) for R
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
vscode-extension - Link your code and commits to a video recording and explain your code with video.
jupyterlab-code-snippets - Save, reuse, and share code snippets using JupyterLab Code Snippets!
httpuv - HTTP and WebSocket server package for R
tslab - Interactive JavaScript and TypeScript programming with Jupyter
embedme - Utility for embedding code snippets into markdown documents
desktop - Focus on what matters instead of fighting with Git.
mui-snippets - Code snippets for MUI
jupyterlab-git - A Git extension for JupyterLab
Vim - :star: Vim for Visual Studio Code
jupyterlab-interactive-dashboard-editor - A drag-and-drop dashboard editor for JupyterLab