interactive VS jupyter

All of this will be accomplished inside of a single Polyglot Notebook. If you're not familiar with Polyglot Notebooks, they're a technology built on top of Jupyter Notebooks that allow you to use additional language kernels, including a F# Kernel. This lets you run interactive data science experiments in a single notebook as shown here in VS Code:

I use .NET on Linux and the experience with Rider has been great. The workflow transfers really well between Mac, Windows, and Linux, and everything works the way you expect. The only problems I run into are that there are still things that are Windows focused. For example MAUI does not run on Linux which is a shame because we could use another cross platform GUI.

There are still bugs, for example I ran into one with Polyglot Notebooks not working on Manjaro or Pop!_OS https://github.com/dotnet/interactive/issues/3159

First of all, if you have a small amount of code that lives in an individual C# file and you wanted to reference it in your notebook, you can do this via the #!import magic command as shown below:

My 2 cents: use a Personal Access Token instead of a password, it is much safer (even though not 100% safe). Some references: https://github.com/dotnet/interactive/discussions/1340 https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate

See also https://github.com/dotnet/interactive

U have Powershell notebooks https://github.com/dotnet/interactive

Or Rider or simply install dotnet by itself (very easy) and code in a notepad or VSCode. .NET interactive is another awesome way to start: https://github.com/dotnet/interactive/blob/main/docs/display-output-csharp.md

Hi! My name is Claudia and I am a PM at Microsoft (opinions are my own) working on Polyglot Notebooks in VS Code. Polyglot Notebooks are exactly what you are describing! They are notebooks where you can use multiple languages AND share variables between them to ensure a continuous workflow. Not only that, but each language has language server support. Polyglot Notebooks currently supports C#, F#, PowerShell, JavaScript, HTML, SQL, KQL, and Mermaid.

We have just added support for Python and R integration and I am actually in search of external testers! If you are willing to sign an NDA to try out our Python and R integration and give us feedback please drop your email in the form below and I will reach out with instructions for you to try it out!

https://forms.office.com/r/UQchfQSGa5

If you'd like to start trying it out today you can install the extension from the marketplace here: https://marketplace.visualstudio.com/items?itemName=ms-dotne...

https://github.com/dotnet/interactive

I've been excited about a lot of the work being done in .NET Interactive and Polyglot Notebooks, particuarly with ML with F#. I don't know too much about ML, so I thought I'd check out ML.NET.

For ipython, you'd better use some more specialized package like https://github.com/emacs-jupyter/jupyter, not the generic python support.

I have seen this thread, but I don't want to have to put an extra source block to set the renderers in every org file where I use plotly. Does anyone have a good solution for the moment? Any help is appreciated.

Should no one take you up on the bounty, I suggest trying emacs-jupyter instead. I've had better luck with it in the past.

For anybody following along with the examples, a few points/tips that might help newcomers:

1. (By default) before you can use Python source blocks, you need to have the Org Babel Python functionality loaded which is most easily done by evaluating the elisp (require 'ob-babel), but there are other ways also [1].

2. The first example, which uses the print function, will not output anything because the Python blocks by default are evaluated inside a function body and the return value is returned to Org [2]. To return the printed output instead, you need the header argument ":results output". There is an example of this syntax later in TFA.

3. If you are serious about replacing (or complementing) other Jupyter tools with Org mode, you might want to eventually look at emacs-jupyter [3], which provides a more advanced handling of outputs and also supports other (i.e. non-Python) kernels.

Also, I don't think I've ever seen anything like the debugging example and when I tried to replicate it out of curiosity, the block simply failed with a bdb.BdbQuit exception. Am I missing something? What is supposed to happen?

[1] https://orgmode.org/manual/Languages.html

[2] https://orgmode.org/worg/org-contrib/babel/languages/ob-doc-...

[3] https://github.com/nnicandro/emacs-jupyter

Emacs, Sublime Text 3 and Atom Pulsar can all do this with arbitrary Jupyter kernels with the emacs-jupyter/code-cells, helium and hydrogen packages, respectively.

You can use emacs as a jupyter client if that would help in your case https://github.com/nnicandro/emacs-jupyter

I've been using code-cells together with emacs-jupyter, the combination of the two lets you work pretty much identically as you would in Atom with Hydrogen, Sublime with Helium, or VSCode with the Jupyter Python extension; you just delimit code cells with #%% and execute in a separate Jupyter REPL buffer. It does require some getting used to the key bindings though (or some tweaking to make it more similar to what you're used to).

For writing source blocks: https://github.com/nnicandro/emacs-jupyter