Andrea Magnorsky discusses active patterns, computation expressions, parsers, using type providers and more. These language features help make code simpler and easier to maintain.
Felienne Hermans explains how she used F# to determine if the game Quarto can end up in a tie or if there is always a winner. The technique used can be applied to scheduling and register allocation.
Phillip Trelford shows through live demos data structures that are orders of magnitude more performant than lists.
Alena Hall presents various machine learning algorithms available in Accord.NET - a framework for machine learning and scientific computing in .NET.
Lucian Wischik discusses the design process for C# 7, which is being designed in the open, with eager community participation on GitHub and elsewhere, and the language features that are taking shape.
Project Roslyn is Microsoft's next generation .Net compiler. Its API allows you to dig into the details of any C# or VB Code.
Daniel Egloff overviews Alea, an F# alternatives to CUDA C/C++ and OpenCL C++, showing how to write GPU scripts and perform dynamic compilation in F#.
Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.
Phillip Trelford explains how compilers work with live code samples, primarily in F# and C#, covering language design and parsing, all-the-way through to emitting code.