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Turning to the Functional side
                (Using C# and F#)




    Phil Trelford           Tomas Petricek
http://trelford.com/blog   http://tomasp.net/blog
       @ptrelford              @tomaspetricek
About Us

» Tomas
   • Author of F# book for C# programmers
   • Worked with the F# team at Microsoft
   • First blogged about F# in May 2006


» Phil
   • Software Developer and Architect
   • Worked on first F# applications at Microsoft
   • Co-organizer of London F# User Group


» http://functional-programming.net
Tutorial

Goals
» Introduce Functional Concepts with F# and C#


Non-goals
» Provide in-depth understanding
» Mass conversion to functional programming cult
» Sell books
Thoughtworks Technology Radar July 2011
Visual F#
The F in F# stands for
FUN
Halo 3 with F# Skills
XBLA: Path to Go – F# AI
F#


» Strongly Typed
» Functional
» Object Orientated
» Open Source
» .Net language
» In Visual Studio
Functional Programing


» Pure Functions
» Higher Order Functions
» Pattern Matching
Pure Functions - Excel
Higher Order Functions
 F# Map/Reduce                     C# Map/Reduce
let map f xs = seq {               public static
                                       IEnumerable<R> Map<T, R>
   for x in xs do                      (this IEnumerable<T> xs,
                                           Func<T, R> f)
       yield f x                   {
                                       foreach (var x in xs)
   }                                       yield return f(x);
                                   }

let reduce f init items =          public static R
                                       Reduce<T, R>
   let mutable current = init          (this IEnumerable<T> xs,
                                        R init,
   for item in items do                Func<R, T, R> f)
                                   {
       current <- f current item       var current = init;
                                       foreach (var x in xs)
   current                                 current = f(current, x);
                                       return current;
                                   }
Pattern Matching
F#                          C#
match day with              switch (day) {
| 0 -> "Sunday"               case 0: return "Sunday";
                              case 1: return "Monday";
| 1 -> "Monday"               case 2: return "Tuesday";
| 2 -> "Tuesday"              case 3: return "Wednesday";
                              case 4: return "Thursday";
| 3 -> "Wednesday"            case 5: return "Friday";
| 4 -> "Thursday"             case 6: return "Saturday";
                              default:
| 5 -> "Friday"                 throw new
                                  ArgumentException("day");
| 6 -> "Saturday"
                            }
| _ –>

 invalidArg "Invalid day"
Light Syntax

F#                                   C#
                                     public class Person
type Person(name:string,age:int) =   {
                                         public Person(string name, int age)
   /// Full name                         {
                                             _name = name;
   member person.Name = name                 _age = age;
                                         }
   /// Age in years
                                         private readonly string _name;
   member person.Age = age               private readonly int _age;

                                         /// <summary>
                                         /// Full name
                                         /// </summary>
                                         public string Name
                                         {
                                             get { return _name; }
                                         }

                                         /// <summary>
                                         /// Age in years
                                         /// </summary>
                                         public int Age
                                         {
                                             get { return _age; }
                                         }
                                     }
Functional data structures

» A way of thinking about problems
» Model data using composition of primitives



       Tuple         Combine two values of different types

   Discriminated     Represents one of several options
       Union

        List         Zero or more values of the same type
Tuples: Containers for a few different things
Discriminated Unions: Exclusive alternatives
Representing event schedule

Object-oriented way                         Functional way
                Schedule                                    Schedule
                                                       Tag : ScheduleType
      GetNextOccurrence() : DateTime



     Once         Never        Repeatedly       Once         Never          Repeatedly




» Easy to add new cases                     » Easy to add new functions
» Hard to add new functions                 » Hard to add new cases


» Good thing about F# and Scala – you can use both!
Cutting the caterpillar

 Head                     Head



                                 Head
          Head


                                   Head




            End!
Functional Lists in C#

» List is either empty or nonempty

                                 List



                  Nonempty              Empty
                  (head, tail)



   • In C#, a class hierarchy with two classes
   • In F#, a discriminated union with two cases
Functional lists in C#


 public class FunctionalList<T> {
   // Creates a new list that is empty
   public FunctionalList();
   // Creates a non-empty list
   public FunctionalList(T head, FunctionalList<T> tail);

     // Is the list empty?
     public bool IsEmpty { get; }

     // Properties valid for a non-empty list
     public T Head { get; }
     public FunctionalList<T> Tail { get; }
 }
Domain Modelling

» Retail Domain -> Testing


» http://tomasp.net/fpday.zip
Processing Stock Prices
Yahoo Stock Prices

» Data stored in a CSV file
   Date,Open,High,Low,Close,Volume,Adj Close
   2011-10-12,407.34,409.25,400.14,402.19,22206600,402.19
   2011-10-11,392.57,403.18,391.50,400.29,21609800,400.29
   2011-10-10,379.09,388.81,378.21,388.81,15769200,388.81


» Read and print all data
   open System.IO

   let dir = __SOURCE_DIRECTORY__ + "dataaapl.csv"
   let lines = File.ReadAllLines(dir)
   for line in lines do
       printfn "%s" line
Parsing CSV data

» Get some data for testing
   let line1 = lines |> Seq.head
   let line2 = lines |> Seq.skip 1 |> Seq.head


» Using arrays in F#
   let arr = str.Split([| ',' |])
   arr.[0]


» Converting strings to numbers
   float "12.34"
   DateTime.Parse("1985-05-02")
TASK #1
Iterate over lines, parse CSV and print date & price
Sequence expressions

» Exploring data using imperative loops
    for year, value in yearlyAverages do
      if value < 25.0 then
        printfn "%d (only %f)" year value

» Can be turned into a sequence expression…
    let badYears =
      seq { for year, value in yearlyAverages do
              if value < 25.0 then
                yield year, value }

   • Result has a type seq<int * float> (IEnumerable)
   • Brackets: [| … |] for arrays, [ … ] for lists, set [ … ] for sets
TASK #2
Turn the parsing into a sequence expression
Organizing Source Code

» Compiled Libraries
   • Allow C# users call F# code
   • Encapsulate (complete) functionality
» F# Script Files
   • Great for explorative programming
   • Script can load some other files

  // File1.fsx                   // File2.fsx
  module StockData               #load "File1.fsx"
                                 open StockData
  let getData name =
    name, 99.0                   getData "MSFT"
TASK #3
Write function that parses specified CSV file
Processing Data in F#

» Writing data processing query in F#

       Lambda function                   All types are inferred
  StockData.MSFT
  |> Seq.filter (fun stock -> stock.Close - stock.Open > 7.0)
  |> Seq.map (fun stock -> stock.Date)
  |> Seq.iter (printfn "%A")
                                    Partial function application
          Custom operators

» Seq module provides functions for IEnumerable
   • But some operations make only sense for arrays/lists
» Sequence expressions provide query-like syntax
Useful functions

» Basic Functions
   • Seq.filter – filter elements using predicate (aka Where)
   • Seq.map – turn values into different (aka Select)
» Aggregating all elements of a sequence
   • Seq.max, Seq.min, Seq.averag – the obvious
   • Seq.fold – general aggregation
» Grouping elements of a sequence
   • Seq.groupBy – group using key
   • Seq.pairwise – adjacent pairs
   • Seq.windowed – sliding window
» For more see: http://fssnip.net/categories/Sequences
TASK #4
Find number of days when closing price is
larger than opening price by more than $5.



TASK #5
Calculate standard
deviation of the data
FSharpChart library

» Easy to use charting library for F#
   • Based on .NET 4.0 Chart Controls (WinForms/ASP.NET)
      Light-weight syntax
         for projections                    Line chart expects
                                           value or key * value
    [ for st in StockData.MSFT -> st.Date, st.Open ]
    |> FSharpChart.Line


» Designed to fit nicely with F#
    [ for st in StockData.MSFT -> st.Date, st.Open ]
    |> FSharpChart.Line
    |> FSharpChart.WithTitle
        ( Text = "Microsoft Stock Prices",
          Font = new System.Drawing.Font("Calibri", 16.0f) )
TASK #6
Create chart that shows values with 5 day average.
This can be done using Seq.windowed



TASK #7
Create chart that shows prices together with standard
deviation (over 5 day window) range
Processing data live and in parallel
» Observable                  » Parallel Sequence
  • Source generates data        • Parallel implementation
    (push-based model)           • Process large amount
  • Process data on-the-fly        of in-memory data
  • F# libs and .NET Rx          • Available in F# PowerPack

                                            In-memory, but
   prices |> Seq.windowed 100            processed in parallel
          |> PSeq.ordered
          |> PSeq.map averageAndSdv
                                                  Processing live
   pricesEvent |> Observable.windowed 100         data on the fly
               |> Observable.map averageAndSdv
Async Programming
The Problem


» Problems with I/O bound computations
   • Avoid blocking user interface
   • Handle many requests concurrently


» What needs to be done differently?
   • Avoid creating and blocking too many threads
   • Reliability and scalability are essential
   • React to events (from I/O or even GUI)
Using Explicit Callbacks

» Event-based programming model
     HttpServer.Start("http://localhost:8080/", fun ctx ->
       WebClient.DownloadAsync(getProxyUrl(ctx), fun data ->
         ctx.ResponseStream.WriteAsync(data, fun res ->
           ctx.ResponseStream.Close())))


   • Callback called when operation completes
   • Gaining popularity (e.g. Node.js)
» Does not solve all problems
   • Control structures don’t work (loops, try-catch, …)
   • Difficult to work with state
Synchronous to Asynchronous


» What would we want to write?
 let copyPageTo url outputStream = async {
   try
     let html ==WebClient.AsyncDownload(url)
     let! html   WebClient.AsyncDownload(url)
     outputStream.AsyncWrite(html)
     do! outputStream.AsyncWrite(html)
   finally
     ctx.ResponseStream.Close() }


» Turning synchronous to asynchronous
  • Wrap body in an async block
  • Asynchronous calls using do! and let!
  • Supports all F# control flow constructs
Async User Interfaces
Async GUI programming

» Controlling semaphore light
   • Using int or enum to keep current state?
   • Difficult to read – what does state represent?
» Better approach – asynchronous waiting
   • Loop switches between state
   • Asynchronous waiting for events


       green        orange         red
Writing loops using workflows

» Using standard language constructs

   let semaphoreStates() = async {
                                               Infinite loop!
     while true do
       for current in [ green; orange; red ] do
         let! md = Async.AwaitEvent(this.MouseDown)
         display(current) }
                                                  Wait for click
» Key idea – asynchronous waiting
   • F# events are first class values
   • Can use functional & imperative style
Checkout application workflow

» Think of a simple while loop
    Startup

                     Scan items

    Next customer                 Complete purchase

                    Print summary
Asynchronous and concurrent programming

» Asynchronous GUI in Checkout example
  • Single-threaded thanks to Async.StartImmediate
  • Easy way to encode control flow

» Parallel programming
  • Workflows are non-blocking computations
  • Run workflows in parallel with Async.Parallel

» Concurrent programming
  • Compose application from (thousands of) agents
  • Agents communicate using messages
Summary

» FP is already in the mainstream
» FP languages are ready
» Start small, go big
   •   Language Orientated Programming
   •   Exploratory and Scripting
   •   Asynchronous & Concurrency
   •   Technical Computing
   •   Testing
Summary
ICFP 2011
Meet the F#ers



       @rickasaurus

        @tomaspetricek

       @dmohl
F# Books
On the horizon

» http://functional-programming.net

                        http://meetup.com/fsharplondon
                        Every 6 weeks @ Skills Matter
Q&A


» http://Fsharp.net
» http://fssnip.net
» http://tomasp.net/blog
» http://trelford.com/blog

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FP Day 2011 - Turning to the Functional Side (using C# & F#)

  • 1. Turning to the Functional side (Using C# and F#) Phil Trelford Tomas Petricek http://trelford.com/blog http://tomasp.net/blog @ptrelford @tomaspetricek
  • 2. About Us » Tomas • Author of F# book for C# programmers • Worked with the F# team at Microsoft • First blogged about F# in May 2006 » Phil • Software Developer and Architect • Worked on first F# applications at Microsoft • Co-organizer of London F# User Group » http://functional-programming.net
  • 3. Tutorial Goals » Introduce Functional Concepts with F# and C# Non-goals » Provide in-depth understanding » Mass conversion to functional programming cult » Sell books
  • 6. The F in F# stands for FUN
  • 7. Halo 3 with F# Skills
  • 8. XBLA: Path to Go – F# AI
  • 9. F# » Strongly Typed » Functional » Object Orientated » Open Source » .Net language » In Visual Studio
  • 10. Functional Programing » Pure Functions » Higher Order Functions » Pattern Matching
  • 12. Higher Order Functions F# Map/Reduce C# Map/Reduce let map f xs = seq { public static IEnumerable<R> Map<T, R> for x in xs do (this IEnumerable<T> xs, Func<T, R> f) yield f x { foreach (var x in xs) } yield return f(x); } let reduce f init items = public static R Reduce<T, R> let mutable current = init (this IEnumerable<T> xs, R init, for item in items do Func<R, T, R> f) { current <- f current item var current = init; foreach (var x in xs) current current = f(current, x); return current; }
  • 13. Pattern Matching F# C# match day with switch (day) { | 0 -> "Sunday" case 0: return "Sunday"; case 1: return "Monday"; | 1 -> "Monday" case 2: return "Tuesday"; | 2 -> "Tuesday" case 3: return "Wednesday"; case 4: return "Thursday"; | 3 -> "Wednesday" case 5: return "Friday"; | 4 -> "Thursday" case 6: return "Saturday"; default: | 5 -> "Friday" throw new ArgumentException("day"); | 6 -> "Saturday" } | _ –> invalidArg "Invalid day"
  • 14. Light Syntax F# C# public class Person type Person(name:string,age:int) = { public Person(string name, int age) /// Full name { _name = name; member person.Name = name _age = age; } /// Age in years private readonly string _name; member person.Age = age private readonly int _age; /// <summary> /// Full name /// </summary> public string Name { get { return _name; } } /// <summary> /// Age in years /// </summary> public int Age { get { return _age; } } }
  • 15. Functional data structures » A way of thinking about problems » Model data using composition of primitives Tuple Combine two values of different types Discriminated Represents one of several options Union List Zero or more values of the same type
  • 16. Tuples: Containers for a few different things
  • 18. Representing event schedule Object-oriented way Functional way Schedule Schedule Tag : ScheduleType GetNextOccurrence() : DateTime Once Never Repeatedly Once Never Repeatedly » Easy to add new cases » Easy to add new functions » Hard to add new functions » Hard to add new cases » Good thing about F# and Scala – you can use both!
  • 19. Cutting the caterpillar Head Head Head Head Head End!
  • 20. Functional Lists in C# » List is either empty or nonempty List Nonempty Empty (head, tail) • In C#, a class hierarchy with two classes • In F#, a discriminated union with two cases
  • 21. Functional lists in C# public class FunctionalList<T> { // Creates a new list that is empty public FunctionalList(); // Creates a non-empty list public FunctionalList(T head, FunctionalList<T> tail); // Is the list empty? public bool IsEmpty { get; } // Properties valid for a non-empty list public T Head { get; } public FunctionalList<T> Tail { get; } }
  • 22. Domain Modelling » Retail Domain -> Testing » http://tomasp.net/fpday.zip
  • 24. Yahoo Stock Prices » Data stored in a CSV file Date,Open,High,Low,Close,Volume,Adj Close 2011-10-12,407.34,409.25,400.14,402.19,22206600,402.19 2011-10-11,392.57,403.18,391.50,400.29,21609800,400.29 2011-10-10,379.09,388.81,378.21,388.81,15769200,388.81 » Read and print all data open System.IO let dir = __SOURCE_DIRECTORY__ + "dataaapl.csv" let lines = File.ReadAllLines(dir) for line in lines do printfn "%s" line
  • 25. Parsing CSV data » Get some data for testing let line1 = lines |> Seq.head let line2 = lines |> Seq.skip 1 |> Seq.head » Using arrays in F# let arr = str.Split([| ',' |]) arr.[0] » Converting strings to numbers float "12.34" DateTime.Parse("1985-05-02")
  • 26. TASK #1 Iterate over lines, parse CSV and print date & price
  • 27. Sequence expressions » Exploring data using imperative loops for year, value in yearlyAverages do if value < 25.0 then printfn "%d (only %f)" year value » Can be turned into a sequence expression… let badYears = seq { for year, value in yearlyAverages do if value < 25.0 then yield year, value } • Result has a type seq<int * float> (IEnumerable) • Brackets: [| … |] for arrays, [ … ] for lists, set [ … ] for sets
  • 28. TASK #2 Turn the parsing into a sequence expression
  • 29. Organizing Source Code » Compiled Libraries • Allow C# users call F# code • Encapsulate (complete) functionality » F# Script Files • Great for explorative programming • Script can load some other files // File1.fsx // File2.fsx module StockData #load "File1.fsx" open StockData let getData name = name, 99.0 getData "MSFT"
  • 30. TASK #3 Write function that parses specified CSV file
  • 31. Processing Data in F# » Writing data processing query in F# Lambda function All types are inferred StockData.MSFT |> Seq.filter (fun stock -> stock.Close - stock.Open > 7.0) |> Seq.map (fun stock -> stock.Date) |> Seq.iter (printfn "%A") Partial function application Custom operators » Seq module provides functions for IEnumerable • But some operations make only sense for arrays/lists » Sequence expressions provide query-like syntax
  • 32. Useful functions » Basic Functions • Seq.filter – filter elements using predicate (aka Where) • Seq.map – turn values into different (aka Select) » Aggregating all elements of a sequence • Seq.max, Seq.min, Seq.averag – the obvious • Seq.fold – general aggregation » Grouping elements of a sequence • Seq.groupBy – group using key • Seq.pairwise – adjacent pairs • Seq.windowed – sliding window » For more see: http://fssnip.net/categories/Sequences
  • 33. TASK #4 Find number of days when closing price is larger than opening price by more than $5. TASK #5 Calculate standard deviation of the data
  • 34. FSharpChart library » Easy to use charting library for F# • Based on .NET 4.0 Chart Controls (WinForms/ASP.NET) Light-weight syntax for projections Line chart expects value or key * value [ for st in StockData.MSFT -> st.Date, st.Open ] |> FSharpChart.Line » Designed to fit nicely with F# [ for st in StockData.MSFT -> st.Date, st.Open ] |> FSharpChart.Line |> FSharpChart.WithTitle ( Text = "Microsoft Stock Prices", Font = new System.Drawing.Font("Calibri", 16.0f) )
  • 35. TASK #6 Create chart that shows values with 5 day average. This can be done using Seq.windowed TASK #7 Create chart that shows prices together with standard deviation (over 5 day window) range
  • 36. Processing data live and in parallel » Observable » Parallel Sequence • Source generates data • Parallel implementation (push-based model) • Process large amount • Process data on-the-fly of in-memory data • F# libs and .NET Rx • Available in F# PowerPack In-memory, but prices |> Seq.windowed 100 processed in parallel |> PSeq.ordered |> PSeq.map averageAndSdv Processing live pricesEvent |> Observable.windowed 100 data on the fly |> Observable.map averageAndSdv
  • 38. The Problem » Problems with I/O bound computations • Avoid blocking user interface • Handle many requests concurrently » What needs to be done differently? • Avoid creating and blocking too many threads • Reliability and scalability are essential • React to events (from I/O or even GUI)
  • 39. Using Explicit Callbacks » Event-based programming model HttpServer.Start("http://localhost:8080/", fun ctx -> WebClient.DownloadAsync(getProxyUrl(ctx), fun data -> ctx.ResponseStream.WriteAsync(data, fun res -> ctx.ResponseStream.Close()))) • Callback called when operation completes • Gaining popularity (e.g. Node.js) » Does not solve all problems • Control structures don’t work (loops, try-catch, …) • Difficult to work with state
  • 40. Synchronous to Asynchronous » What would we want to write? let copyPageTo url outputStream = async { try let html ==WebClient.AsyncDownload(url) let! html WebClient.AsyncDownload(url) outputStream.AsyncWrite(html) do! outputStream.AsyncWrite(html) finally ctx.ResponseStream.Close() } » Turning synchronous to asynchronous • Wrap body in an async block • Asynchronous calls using do! and let! • Supports all F# control flow constructs
  • 42. Async GUI programming » Controlling semaphore light • Using int or enum to keep current state? • Difficult to read – what does state represent? » Better approach – asynchronous waiting • Loop switches between state • Asynchronous waiting for events green orange red
  • 43. Writing loops using workflows » Using standard language constructs let semaphoreStates() = async { Infinite loop! while true do for current in [ green; orange; red ] do let! md = Async.AwaitEvent(this.MouseDown) display(current) } Wait for click » Key idea – asynchronous waiting • F# events are first class values • Can use functional & imperative style
  • 44. Checkout application workflow » Think of a simple while loop Startup Scan items Next customer Complete purchase Print summary
  • 45. Asynchronous and concurrent programming » Asynchronous GUI in Checkout example • Single-threaded thanks to Async.StartImmediate • Easy way to encode control flow » Parallel programming • Workflows are non-blocking computations • Run workflows in parallel with Async.Parallel » Concurrent programming • Compose application from (thousands of) agents • Agents communicate using messages
  • 46. Summary » FP is already in the mainstream » FP languages are ready » Start small, go big • Language Orientated Programming • Exploratory and Scripting • Asynchronous & Concurrency • Technical Computing • Testing
  • 49. Meet the F#ers @rickasaurus @tomaspetricek @dmohl
  • 51. On the horizon » http://functional-programming.net http://meetup.com/fsharplondon Every 6 weeks @ Skills Matter
  • 52. Q&A » http://Fsharp.net » http://fssnip.net » http://tomasp.net/blog » http://trelford.com/blog

Editor's Notes

  • #5: Thoughtworkstechnlogy radar: http://www.thoughtworks.com/radar/Image source: http://www.thoughtworks.com/sites/www.thoughtworks.com/files/files/tw-radar-april-2010.pdfSee also: http://qconlondon.com/london-2010/file?path=/qcon-london-2010/slides/AmandaLaucher_and_JoshGraham_TheStateOfTheArtNET12MonthsOfThingsToLearn.pdf