Over the past few days, I've been thinking about learning some data science, and since I have more than one computer and an iPad, I wanted a central solution that would allow me to run JupyterLab in server mode, with F# included.
So I did a quick and dirty docker-compose with the last Jupyter Lab distribution, with Python and Julia included, and the entire .NET-interactive package.
Because, let's face it, who would miss out on the opportunity to work in bed, on an iPad using F# notebooks?
I think no one…

You can find it here: https://codeberg.org/PascalDR/datascience-notebook-plus-net

Feel free to open an issue if you have any problem or simply an advice 😊
Have fun!

#fsharp #csharp #dotnet #docker

I'm refactoring a lot of code in our mixed codebase of #fsharp and #csharp. One thing I like about F# is that because there are only few type annotations, it's much easier to refactor F# than C# code.

Thinks about the code in the picture. If I want to change the return type of the `refactorMe` function from an `Option` to just the value `x`, calling functions change their type automagically - no need to change every method signature, as in C#. Same for input arguments.

Big time saver

#dotnet

I'm refactoring a lot of code in our mixed codebase of #fsharp and #csharp. One thing I like about F# is that because there are only few type annotations, it's much easier to refactor F# than C# code.

Thinks about the code in the picture. If I want to change the return type of the `refactorMe` function from an `Option` to just the value `x`, calling functions change their type automagically - no need to change every method signature, as in C#. Same for input arguments.

Big time saver

#dotnet