Programming user interfaces using F# workflows

Numerous Manning partners already published several exceprts from my Real-World Functional Programming book. You can find a list on the book's web page. However, the last excerpt published at DotNetSlackers is particularly interesting. It discusses how to use F# asynchronous workflows to write GUI applications. This is a very powerful programming pattern that is very difficult to do in any other .NET language. We first discussed it with Don Syme during my internship at Microsoft Research and I found it very elegant, so I made some space for it in the book. In fact, the entire Chapter 16 discusses various reactive programming techniques that can be used in F#.

When designing applications that don't react to external events, you have lots of control flow constructs available, such as if-then-else expressions, for loops and while loops in imperative languages, or recursion and higher-order functions in functional languages. Constructs like this make it easy to describe what the application does. The control flow is clearly visible in the source code, so drawing a flowchart to describe it is straightforward.

Understanding reactive applications is much more difficult. A typical C# application or GUI control that needs to react to multiple events usually involves mutable state. When an event occurs, it updates the state and may run more code in response to the event, depending on the current state. This architecture makes it quite difficult to understand the potential states of the application and the transitions between them. Using asynchronous workflows, we can write the code in a way that makes the control flow of the application visible even for reactive applications.

You can read the complete article here: Programming user interfaces using F# workflows [^]. It is also worth adding that Manning offers 30% discount to DotNetSlackers readers (see the article for details!)

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Thursday, February 18, 2010

Real World Functional Programming: Second review finished!

I've been working on the Real World Functional Programming in .NET book for quite some time now. In fact, I had the first discussions with Michael Stephens from Manning in March last year and I started thinking about the book at that time, so it has been occupying my mind for almost a year now! Until recently, I was feeling that we're not getting much closer to the end of this project, because writing a book is just a lot of work. However, I think I can finally see that we're getting closer to actually finishing the book. At Manning, we've recently finished the second review, which means that I've just got another set of very useful comments - a big thanks to all the reviewers! I'm also getting close to finishing the first draft of the whole manuscript (depending on the reviews, the content may still change a bit, but I expect to write at most one new chapter from now). Hopefully, the drafts will soon make it to the MEAP release of the book.

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Monday, March 02, 2009

Calculating with infinite sequences on MSDN

About a year ago, I wrote an article about using lazy computations in C# 3.0. It was published by the C# Community PM Charlie Calvert at the C# Developer Center. The article was a first of two articles where I wanted to demonstrate that C# 3.0 can be used for implementing useful constructs known from functional languages. I realized that I never posted the link to the second article to my blog, so you can find the annotation and link below.

However, I remembered about these two articles because I was just working on chapters 11 and 12 of the Real-world Functional Programming in .NET book that I’m writing. Lazy values, which were the topic of my first article, are discussed in the second part of chapter 11 and IEnumerable and F# sequences are the topic for the first part of chapter 12. Because I already wrote two articles on this topic, I had to think really hard to find better (and still simple enough) examples where these concepts are useful in practice. I also finally have enough space to show how these two concepts relate and talk about some interesting background – for example in Haskell, lazy sequences are in fact just ordinary lists that are lazy thanks to the Haskell nature.

A year ago, I definitely wouldn’t believe that today, I’ll be writing about the same topics, but this time as part of a book that has partly the same goal as these two articles – to show that functional programming ideas are really useful in the real-world and can enrich your programming toolbox (no matter whether you’re using C# or F# language). Anyway, here is the link to the second article – as usual when I look at something that I worked on a long time ago, I think I should rewrite it to make it better :-), but it still gives you an idea what is the book that I’m working on about...

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Thursday, November 13, 2008

Functional Programming in .NET book - An update

Recently, I announced on my blog that I’m working on a book for Manning called Real world Functional Programming in .NET. The goal of the book is to explain the most interesting and useful ideas of functional programming to a real world C# developer. I'm writing this book, because I believe that functional programming is becoming increasingly important. Here is a couple of reasons why you should have this book on your bookshelf:

• Ideas behind C# 3.0 and LINQ - these main-stream technologies are inspired by functional programming and the new C# 3.0 features give us definitely much more than just a new way to query databases. The book explains the ideas behind these features and shows how to use them more efficiently.
• Learning the F# language - F# is becoming a first-class citizen in the Visual Studio family of languages, which alone would be a good reason for learning it! Even if you're not going to use it for your next large .NET project, you'll find it useful for quick prototyping of ideas and testing how .NET libraries work thanks to the great interactive tools.
• Real world examples - the book includes a large set of real-world examples that show how to develop real applications in a functional way - both in F# and C#. Among other things, the examples show how to utilize multi-core CPUs, how to better obtain and process data and how to implement animations and GUI applications in a functional way.

The book is available via the MEAP (Manning Early Access Program) and if you want to get a better idea what is the book about, you can read the first chapter for free. Anyway, it is more than a month since I posted the announcement, so I decided to write a brief update....

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Monday, October 20, 2008

Lazy Computation in C# on MSDN

I think that one of the interesting things about C# 3.0 is that it gives you the ability to use many techniques known from functional languages (like Haskell or F#). Most of the articles about C# 3.0 and LINQ focus on the queries and LINQ to SQL, but I believe that using these functional techniques deserve some attention as well. This is why I'm very happy that my article about one of these techniques - representing lazy computations - is now available at the C# Developer Center. I would like to thank to Charlie Calvert [^], who is the Community Program Manager for C# and who edited and published my article there. Here is the annotation:

Most of the programming languages used in practice (including for example C#, VB.NET, C++, Python or Java) employ so called eager evaluation, which means that the program evaluates all expression and statements in the order in which they are written, so all the preceding statements and expressions are evaluated before executing the next piece of code. This, for example, means that all arguments to a method call are evaluated before calling the method. Sometimes it may be useful to delay an execution of some code until the result is actually needed, either because the result may not be needed at all (but we can’t tell that before executing some computation) or because we don’t want to block the program for a long time by executing all computations in advance and instead we want to execute the computations later, when we will actually need the result.

In this article we will look how these lazy computations can be written in C# (using some of the new language features from version 3.0). We will first implement a Lazy class to represent this kind of computation, then look at a few simple examples to demonstrate how the class can be used, and finally we will examine one slightly more complicated, but practically useful application.

You can read the complete article here: Lazy Computation in C# [^]

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Saturday, October 06, 2007