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We assume you have some programming knowledge and experience. If you don t have experience with F# already, you ll still be familiar with many of the ideas it uses. However, you may also encounter some new and challenging ideas. For example, if you ve been taught that object-oriented (OO) design and programming are the only ways to think about software, then programming in F# may be a reeducation. F# fully supports OO development, but F# programming combines elements of both functional and OO design. OO patterns such as implementation inheritance play a less prominent role than you may have previously experienced. 6 covers many of these topics in depth. The following notes will help you set a path through this book depending on your background: C++, C#, Java, and Visual Basic: If you ve programmed in a typed OO language, you may find functional programming, type inference, and F# type parameters take a while to get used to. However, you ll soon see how to use these to make you a more productive programmer. Be sure to read s 2, 3, 5, and 6 carefully. Python, Scheme, Ruby, and dynamically typed languages: F# is statically typed and type-safe. As a result, F# development environments can discover many errors while you program, and the F# compiler can more aggressively optimize your code. If you ve primarily programmed in an untyped language such as Python, Scheme, or Ruby, you may think that static types are inflexible and wordy. However, F# static types are relatively nonintrusive, and you ll find the language strikes a balance between expressivity and type safety. You ll also see how type inference lets you recover succinctness despite working in a statically typed language.

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type StringMap<'T> = Microsoft.FSharp.Collections.Map<string,'T> type Projections<'T,'U> = ('T -> 'U) * ('U -> 'T) Type abbreviations aren t concrete, because they simply alias an existing type. They re expanded during the process of compiling F# code to the format shared between multiple .NET languages. The difference can, for example, be detected by other .NET languages; because of this, a number of restrictions apply to type abbreviations. For example, you can t augment them with additional members, as can be done for concrete types such as records, discriminated unions, and classes. In addition, you can t truly hide a type abbreviation using a signature (see 7).

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What better example of a threat can one find than one s closest competitor desiring to own what you have MySQL AB deserves great praise in standing their ground and refusing to sell their endeavors Few would blame them for cashing in and enjoying their fortunes However, the strength of the philosophy that is the open source world has prevailed and the CEOs of MySQL AB felt there is more to be gained by continuing their quest for becoming the world s best database system The pressure of competition isn t limited to MySQL versus proprietary database systems At least one open source database system, Apache Derby, is touting itself as an alternative to MySQL and has recently tossed its hat into the ring as a replacement for the M in the LAMP stack (see the sidebar What Is the LAMP Stack ).

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The simplest concrete type definitions are records. Here s an example: type Person = { Name: string; DateOfBirth: System.DateTime; } You can construct record values by using the record labels: > { Name = "Bill"; DateOfBirth = new System.DateTime(1962,09,02) };; val it : Person = { Name="Bill"; DateOfBirth = 09/02/1962 } Should there be a conflict between labels among multiple records, you can also construct record values by using an explicit type annotation: > ({ Name = "Anna"; DateOfBirth = new System.DateTime(1968,07,23) } : Person);; val it : Person = { Name="Anna"; DateOfBirth = 23/07/1968 } Record values are often used to return results from functions: type PageStats = { Site: string; Time: System.TimeSpan; Length: int; NumWords: int; NumHRefs: int } This technique works well when returning a large number of heterogeneous results: let stats site = let url = "http://" + site let html,t = time (fun () -> http url) let hwords = html |> getWords let hrefs = hWords |> List.filter (fun s -> s = "href") { Site=site; Time=t; Length=html.Length; NumWords=hwords.Length; NumHRefs=hrefs.Length }

Be sure to read s 2 to 6 carefully, paying particular attention to the ways in which types are used and defined. Typed functional languages: If you are familiar with Haskell, OCaml, or Standard ML, you will find the core of F# readily familiar, with some syntactic differences. However, F# embraces .NET, including the .NET object model, and it may take you a while to learn how to use objects effectively and how to use the .NET libraries themselves. This is best done by learning how F# approaches OO programming in s 6 to 8 and then exploring the applied .NET programming material in s 10 to 19, referring to earlier chapters where necessary. Haskell programmers will also need to learn the F# approach to imperative programming, described in 4, since many .NET libraries require a degree of imperative coding to create, configure, connect, and dispose of objects. We strongly encourage you to use this book in conjunction with a development environment that supports F# directly, such as Visual Studio 2005 or Visual Studio 2008. In particular, the interactive type inference in the F# Visual Studio environment is exceptionally helpful for understanding F# code: with a simple mouse movement you can examine the inferred types of the sample programs. These types play a key role in understanding the behavior of the code.

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