By Jon Skeet, Tomas Petricek
Functional programming languages like F#, Erlang, and Scala are attracting realization as a good method to deal with the hot standards for programming multi-processor and high-availability functions. Microsoft's new F# is a real useful language and C# makes use of practical language beneficial properties for LINQ and different contemporary advances.
Real global practical Programming is a distinct educational that explores the sensible programming version in the course of the F# and C# languages. The basically offered principles and examples educate readers how practical programming differs from different methods. It explains how rules glance in F#-a practical language-as good as how they are often effectively used to unravel programming difficulties in C#. Readers construct on what they learn about .NET and research the place a useful method makes the main experience and the way to use it successfully in these cases.
The reader must have a very good operating wisdom of C#. No past publicity to F# or practical programming is required.
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Extra resources for Real World Functional Programming: With Examples in F# and C#
This isn't strictly true in F# because we can still declare mutable values. NET libraries rely on mutable state. On the other hand, Haskell very strictly enforces mathematical purity. This means it can be very flexible about the order in which programs execute. In the example above, I mentioned that F# evaluates the innermost part of an expression first. In Haskell, there are no side effects so the order of evaluation doesn't (and can't) matter. As long as we're reordering parts of the code that don't depend on each other, it will not change the meaning of the program.
So far, we've seen that functional languages use immutable data structures and immutable values instead of mutable variables. You can probably imagine how to write some extremely simple programs without using traditional variables and the assignment operator, but once you start thinking about slightly more complicated problems, things become difficult until you change the way you look at the world. In the next section, we'll look how to encode some more sophisticated calculation in the functional style.
1 Type inference in C# and F# When most of the types have a simple name such as int or Random, there is only a small need for type inference, because writing the type names by hand isn't difficult. 0 supports generics, so you can construct more complicated types. The types in functional languages like F# are also quite complicated, particularly because you can use functions as a value, so there must also be a type that represents a function. 0. When declaring a local variable in earlier versions of C# you had to specify the type explicitly.