F# 5 Preview Focuses on Interactive Analytics -- Visual Studio Magazine

F# 5 Preview Focuses on Interactive Analytics

By David Ramel
03/19/2020

Microsoft is previewing F# 5, the latest iteration of its functional-first programming language, as it moves toward a unifying .NET 5 release in November.

While some may view F# as the neglected little cousin of C#, its popularity has risen along with use cases at which it's especially adept, such as data-oriented programming in financial, AI, data science and other analytics applications, among others.

In announcing the F# 5 preview, the team said it started this development cycle with the specific intention of improving interactive programming, to go along with related initiatives such as supporting .NET in Jupyter Notebooks in .NET Core.

"Interactive programming has historically been a strength of F#, but improving that aspect of F# has been neglected for a few years," said Phillip Carter, program manager, .NET and Languages, in a March 18 blog post. "With interactive programming becoming increasingly important as machine learning and data science rise in popularity, it was clear that improvements had to be made in the overall experience. Many of these improvements are language changes, and we plan on introducing more features in future preview that are aligned with this."

A few of the new features highlighted in the announcement include:

Enhanced slicing: The critical functionality of data slicing has been improved in three ways.
New nameof function: This helps with logging and validating parameters to functions.
Opening static classes: This provides the ability to "open" a static class just like a module or namespace, applicable to any static class in .NET (or any package), or in a coder's own F#-defined static class.

Going forward, the dev team plans to introduce new F# features in .NET 5 previews, the first of which just shipped.

As to what those new features will be, Carter pointed to three links for more information:

In that first category, the sole item reads: "[RFC FS-1071] Witnesses passing for trait-constraints w.r.t. quotations."

About the Author

David Ramel is an editor and writer at Converge 360.

Printable Format

comments powered by Disqus

Featured

Mastering Blazor Authentication and Authorization

At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.
Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.
Low-Code Report Says AI Will Enhance, Not Replace DIY Dev Tools

Along with replacing software developers and possibly killing humanity, advanced AI is seen by many as a death knell for the do-it-yourself, low-code/no-code tooling industry, but a new report belies that notion.
Vibe Coding with Latest Visual Studio Preview

Microsoft's latest Visual Studio preview facilitates "vibe coding," where developers mainly use GitHub Copilot AI to do all the programming in accordance with spoken or typed instructions.
Steve Sanderson Previews AI App Dev: Small Models, Agents and a Blazor Voice Assistant

Blazor creator Steve Sanderson presented a keynote at the recent NDC London 2025 conference where he previewed the future of .NET application development with smaller AI models and autonomous agents, along with showcasing a new Blazor voice assistant project demonstrating cutting-edge functionality.