Using Visual Studio to Write F# Programs. The Visual Studio Integrated Development Environment (IDE) includes support for F#, including code editing, IntelliSense, debugging, and features that assist in packaging and deploying applications.
Visual F# supports many of the features supported in other .NET Framework languages. There are two basic styles of development that Visual F# supports: scripts and projects. You can use an F# script when you just want to run a small amount of code that you do not want to make into a permanent application. You use a project when you are creating a more permanent application. To create and run an F# script, you do not need to create a project.
Projects include a collection of files that produce a single assembly. To create an F# project, on the File menu, point to New and then click Project. When you deploy your applications to run on computers other than your development computer, you must specify a deployment option, and make sure that the F# runtime is included in the deployment. Adventures in F# - F# 101 Part 6 (Lazy Evaluation) - Matthew Podwysocki's Blog. Time for another adventure in F#, covering some of the basics of functional programming and F# in particular.
This is intended at looking not only at the language, but the implementation as it regards to C#. Where We Are Before we begin today, let's catch up to where we are today: So, today we'll be covering the topic of lazy evaluation, so, without further ado, let's get started. Lazy Evaluation Another fascinating topic in the land of functional programming is lazy evaluation. It's one of the more important features in languages such as Haskell where Simon Peyton Jones, the principal designer of the Glasgow Haskell Compiler (GHC), really likes this features and talks about it extensively on DotNetRocks Episode 310. Using monads in F# – Part I: The State Monad. Currently I’m trying to implement some of the standard monads in F#.
If you want to read about the theory behind monads and their implementation (in Haskell) it’s a good start to look into “All about Monads” on haskell.org. In this blog post series I don’t care about mathematical details. Instead I will try to show how monads can help to simplify our code. Motivation We have a generic binary tree with some test data: type Tree<’a> = | Leaf of ‘a | Branch of Tree<’a> * Tree<’a> let tree = Branch( Leaf "Max", Leaf "Bernd", Leaf "Holger", Leaf "Ralf"), Leaf "Kerstin", Leaf "Steffen")))) If we want to print this tree we can use the following recursive function: /// prints a binary tree let printTree t = let rec print t level = let indent = new String(‘ ‘, level * 2) match t with | Leaf l -> printfn "%sLeaf: %A" indent l | Branch (left,right) -> printfn "%sBranch:" indent print left (level+1) print right (level+1) print t 0 printfn "Unlabeled:" printTree tree And what we get is something like this:
Programmable Concurrency in a Pure and Lazy Language. Programmable Concurrency in a Pure and Lazy Language, Peng Li's 2008 PhD dissertation, is a bit more implementation focused than is common on LtU.
The paper does touch on a wide range of concurrency mechanisms so it might have value to any language designer considering ways to tackle the concurrency beast. First, this dissertation presents a Haskell solution based on concurrency monads. Unlike most previous work in the field, this approach provides clean interfaces to both multithreaded programming and event-driven programming in the same application, but it also does not require native support of continuations from compilers or runtime systems.
Then, this dissertation investigates for a generic solution to support lightweight concurrency in Haskell, compares several possible concurrency configurations and summarizes the lessons learned. The paper's summary explains what I like most about it: the project ... solves a systems problem using a language-based approach. Monadic Philosophy Part 4 – The Parser Monad in F# – DevHawk. In the last post, I built out a basic parser monad in C#.
While the approach worked OK, the syntax is still a little foreign to your typical .NET programmer, what with it’s nested anonymous functions and all. Now, I’m going to translate that code to F# and take a look at the special monadic syntax F# supports that makes using monads as easy any sequential code. First, let’s translate our Parser delegate, Bind, Result and Item functions over to F#. Just for kicks, let’s also port over the final version of TwoItems too. First, we start with the declaration of the Parser type.
Next up is are the monad functions Bind and Result. Likewise, Item is identical to the C# version including using strings as the parse input, except for than the F# syntax. Finally, we have BestTwoItems.