News

F# 5 Preview Focuses on Interactive Analytics

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.

comments powered by Disqus

Featured

  • Microsoft Agent Framework Makeover: Claws, Loops and Harnesses

    Microsoft's newly released Agent Framework Harness packages the loops, planning, memory, context management and safety controls that developers previously had to assemble around AI models themselves.

  • Visual Studio 2026 Gives Copilot Built-In Skills -- and Makes Them Prove Their Worth

    Microsoft is moving Agent Skills beyond bring-your-own instructions by shipping expert-authored workflows with the IDE, while keeping them off by default until testing shows their benefits justify the additional token use.

  • Copilot AI Billing Shock Met with Meters, Caps and Token-Saving Tools

    GitHub is layering spending limits, expanded credit allowances and increasingly granular usage reporting onto Copilot, while Microsoft is reworking Visual Studio and VS Code to expose -- and reduce -- the cost of agentic development.

  • The AI-Powered Software Development Lifecycle

    René van Osnabrugge makes the case that AI's biggest opportunity in software development is not faster coding -- it's reducing the friction everywhere else in the SDLC.

Subscribe on YouTube