By Chris Smith
Why study F#? With this advisor, you’ll learn the way this multi-paradigm language not just provides you with a big productiveness increase via useful programming, but in addition permits you to advance functions utilizing your present object-oriented and principal programming abilities. You’ll fast observe the various benefits of the language, together with entry to all of the nice instruments and libraries of the .NET platform.
Reap some great benefits of practical programming in your subsequent venture, no matter if you’re writing concurrent code, or construction facts- or math-intensive functions. With this complete booklet, former F# group member Chris Smith grants a head commence at the basics and walks you thru complex innovations of the F# language.
- Learn F#’s designated features for construction applications
- Gain a great knowing of F#’s middle syntax, together with object-oriented and vital styles
- Make your object-oriented code higher via utilizing useful programming patterns
- Use complicated sensible suggestions, corresponding to tail-recursion and computation expressions
- Take good thing about multi-core processors with asynchronous workflows and parallel programming
- Use new kind prone for interacting with internet providers and information-rich environments
- Learn how good F# works as a scripting language
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Extra info for Programming F#: a comprehensive guide
Reduce is the first element of the list. reduce to comma-separate a list of strings. The function insertCommas takes the accumulator and a value and simply returns a new string that joins the accumulator and the value separated by a comma. reduce, the initial value of the accumulator is the first item in the list, so the net result after processing every item in the list is a single string containing all of the list’s values separated by commas. Example 2-5. reduce insertCommas ["Jack"; "Jill"; "Jim"; "Joe"; "Jane"];; val it : string = "Jack, Jill, Jim, Joe, Jane" The following table shows how the accumulator was built up after processing each list element: Accumulator List element “Jack” (the first list element) “Jill” (the second list element) “Jack, Jill” “Jim” “Jack, Jill, Jim” “Joe” “Jack, Jill, Jim, Joe” “Jane” While the reduce fold is helpful, it forces the type of the accumulator to have the same type as the list.
Simple list comprehensions let numbersNear x = [ yield x - 1 yield x yield x + 1 ];; val numbersNear : int -> int list > numbersNear 3;; val it : int list = [2; 3; 4] Most any F# code can exist inside of list comprehensions, including things like function declarations and for loops. The following code snippet shows a list comprehension that defines a function negate and returns the numbers 1 through 10, negating the even ones: > // More complex list comprehensions let x = [ let negate x = -x for i in 1 ..
Collections namespace. Collections module is imported by default to access any of these methods, you need to qualify the List module name and call the function. Aggregate Operators Although lists offer a way to chain together pieces of data, there really isn’t anything special about them. The true power of lists lies in aggregate operators, which are a set of powerful functions that are useful for any collection of values. You’ll see this set of methods again in the discussion of sequences (Chapter 3) and arrays (Chapter 4).