Foundations of F' by Robert Pickering

By Robert Pickering

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Please note that at the time of this writing the free Express Editions of Visual Studio do not support plug-ins, so you cannot use F# integration with them. Installing F# on Linux It’s difficult to write a simple guide to installing F# on Linux, because there are so many different distributions of Linux and so many ways you can configure them. The following are the steps that worked well for me running SUSE Linux on a single computer. I performed all these steps as the root account. 1. Install Mono using the packages provided with the SUSE Linux distribution; you can find these by searching for mono and then sharp in the Install Software dialog box available from the Computer menu.

Light let evens n = { for x in 1 .. ] It’s also possible to use list comprehensions to iterate in two or more dimensions by using a separate loop for each dimension. In the next example, you define a function, squarePoints, that creates a sequence of points forming a square grid, each point represented by a tuple of two integers. #light let squarePoints n = { for x in 1 .. n for y in 1 .. NET Framework BCL in Chapter 4. Control Flow F# has a strong notion of control flow. In this way it differs from many pure functional languages, where the notion of control flow is very loose, because expressions can be evaluated in essentially any order.

One might be temped to infer that he did this so he could create F#! The function doNothingToAnInt, shown next, is an example of a value being constrained, a type constraint; in this case, the function parameter x is constrained to be an int. The syntax for constraining a value to be of a certain type is straightforward. Within parentheses, the identifier name is followed by a colon (:) followed by the type name; this is also sometimes called a type annotation. Constraining values is not usually necessary when writing pure F#, though it can occasionally be useful.

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