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InfoQ Homepage Presentations Functional Languages 101: What’s All the Fuss About?

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Functional Languages 101: What’s All the Fuss About?

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Bio

Dr. Parsons has more than 20 years of application development experience in industries ranging from telecommunications to emergent internet services. She has been published in language and artificial intelligence media, served on numerous program committees, and currently reviews academic articles for several journals.

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Oct 11, 2010

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  • Getting lost again

    by Petr Sobotka /

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    In irregular intervals (once a year ?) I try to watch someones presentation/talk about functional programming and hope to understand the basic ideas/concepts. But I always get lost after first 10 minutes. In this case no exception. Yes, I know - it's about functions. But why ? Where is the reason ? Where is the sense ? I need a really simple common-sense explanation ... does it exist ?
    Petr

  • Re: Getting lost again

    by Scott Gregory /

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    Petr;

    I'm not really understanding your question(s). By "where is the reason" do you mean why functions instead of objects or some other abstraction?

    If you, like me, have a deep background in imperative languages, then functional languages can be a tough learning curve.

    As much as possible, forget what you know about languages and how to structure programs. Get yourself a good introductory book, and re-learn programming over again (yes, hard!).

    Remember that there is nothing magical about imperative languages or for() loops instead of recursion, just that we have programmed that way long enough that it has become "natural".

    Good Luck

  • Re: Getting lost again

    by Rashid Jilani /

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    Without diving into the discussion of imperative and Functional Programming (FP), my biggest concern about FP is not that we as a programmer don’t understand what a FP is all about; but how to write reusable and readable code.

    All the experts feeding us the idea how beautiful FP is, never mentioned a single word about code reusability and readability. OO paradigm has been a success not because it was technically superior than Functional paradigm and vice versa, but because you can see the whole software as a blue print just looking at the API, and it is so easy to maintain and read someone else code.

    I don’t claim to be an expert of programming paradigms especially FP, but say it for surety that no FP expert can convince you that reading and maintain the FP code is the easiest thing to do.

    BTW besides my opinion about FP, I think the presenter (Rebecca Parsons) has done an awesome job to explain what a FP is all about for beginners.

  • Does functional language have the chance to become popular among mortals?

    by Harry Chou /

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    For people who are not math or computer science trained, is it too hard to think and design programs in terms of functional programming concepts?

  • Re: Does functional language have the chance to become popular among mortal

    by Harry Chou /

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    I am learning functional programming too. I am in the middle of 'little schemer' for a long time already. The concepts are just so different that I am afraid just not easy for business application developers to apply in daily tasks. I am not saying it is not good. I am just trying to find its place in daily work.

  • Re: Getting lost again

    by Dmitry Tsygankov /

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    Modern FP is about several things:


  • Being able to pass functions around just like any other value. Being able to do something easily is a good thing, isn't it?



  • Immutability. There are a quite a few guidelines for programmers, which boil down some kind of limited immutability, the book Effective Java is a good place to start. Something that is completely immutable can be passed between threads without fear. Global variables and singletons are generally considered to be a bad practice. Reusing the same variable for two different purposes is not good for readability. Readonly variables are a good thing for readability, etc. In fact, I had started programming PL/SQL in a functional-style-without-functions a long time before I knew what functional programming was, and the programs I wrote weren't even mindblowingly multithreaded, so immutability is a good practice by itself.



  • Type systems. A good thing about the type systems of modern functional languages is that almost every single type signature can be omitted (powerful type inference). Which means you get both the conciseness of dynamic languages and guarantees of a static type system. Type systems of some languages allow you to even write type-level programs that check the correctness of your code at compile-time.



  • Lazy evaluation. When everything is immutable, you can change the order of execution with ease. That enables compilers to do powerful compile-time optimisations, calculate values exacty at the moment when they are needed. New abstractions like infinite lists become possible. There are analogous features of PL/SQL, which allow Oracle to do some query optimisations (I'm talking about the keywords deterministic, wnds, wnps, rnds, rnps here). Lazy evaluation also eliminates the difference between variables and functions without arguments, which means fewer abstractions, which is also a good thing.


  • Not all FP languages employ all of these features at the same level, only a few do. Common Lisp, for instance, goes away with just the first one. That's why I personally don't consider it a functional language.

  • Re: Getting lost again

    by Paul Topping /

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    At a basic level, functional programming is easy to understand. It is the details of any specific functional programming language that are much harder to grasp.

    In FP languages, functions are just like those in other programming languages except they are not allowed to have side-effects: they can't set global variables or modify data via their arguments. They can only look at their arguments and return a result based on them.

    Once you force functions to have no side-effects, you can do all kinds of nice things with them. They are just like mathematical functions and you can do mathematics with them. You can re-arrange functions in expressions in certain ways without changing the meaning of the expression.

    When functions do not have side-effects, the implementation of the language can do some neat tricks:

    1) It can cache function results with their arguments. If a new function call has the same arguments as an earlier cached one, it does not need to execute the function but just return the cached result.

    2) It can execute terms in an expression in any order and always get the same result.

  • Code in Clojure

    by Alexandru Repede /

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    If you're having trouble understanding the Scheme code in this presentation, here are some Clojure translations

    Example 1 - Length of a list:


    (defn my-length [lst]
    (loop [len 0 x lst]
    (if (empty? x)
    len
    (recur (+ 1 len) (rest x)))))

    user=> (my-length '(1))
    1
    user=> (my-length '(1 2 3 4))
    4
    user=> (my-length '())
    0


    Example 2 - Square each element of a list:

    (defn squares [lst]
    (loop [sqrs '() x lst]
    (if (empty? x)
    (reverse sqrs)
    (recur (cons (* (first x) (first x)) sqrs) (rest x)))))

    user=> (squares '(1 2 3 4))
    (1 4 9 16)


    More complicated example - Map:

    (defn my-map [func lst]
    (loop [res '() x lst]
    (if (empty? x)
    (reverse res)
    (recur (cons (func (first x)) res) (rest x)))))

    user=> (my-map (fn [x] (* x 2)) '(1 2 3))
    (2 4 6)


    PS: thanks to the Clojure community for translating. more info here:
    stackoverflow.com/questions/3941239/can-you-tra...

  • Re: Getting lost again

    by Anton Ivanov /

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    I am not an expert (not even a regular user of) in functional languages, please, correct me someone if I got something wrong.

    But I guess that you can think of many of functional languages as a different approach to problem solving. For example, most of the people that write say in Java (as I do) think that assignment operator should be a fundamental part of any language. But this is not so, for example in Scheme it is possible to write rather complicated programs without ever using any assignment operators. In other words the notion of time is not required in order to perform some computations (the notion of time means that we have to know when a variable x becomes equal to some value x0 in order to perform the computation correctly). From this it may follow that maybe the problems with concurrent programming that we experience in other languages like Java (it is relatively hard to write correct concurrent programs even having such a wonderful library as java.util.concurrent) are not a fundamental part of the computation itself.
    Maybe it is just that imperative languages are a wrong tool for concurrent programming? This is just an example of some of the interesting things one may observe looking at some functional languages.

    By the way, some time ago I discovered for myself this wonderful course from MIT 'Structure and Interpretation of Computer Programs', the videos and the book are available online, maybe watching it can give a more detailed introduction to Scheme and functional programming
    ocw.mit.edu/courses/electrical-engineering-and-...
    mitpress.mit.edu/sicp/full-text/book/book.html
    It is like learning to write code all over again=)
    Recently I also heard Robert Martin talking about functional programming and this course here pragprog.com/podcasts/show/32 and he gave a rather good explanation and maybe answered your question (although, not all the talk is about functional languages)

    Personally I am now convinced to look more closely at Closure=) It is actually a shame that I did not notice this language earlier

  • Re: Does functional language have the chance to become popular among mortal

    by Gresham Paul /

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    No, it makes things easier to reason, therefore it is just easier, whomever you are. What' hard is to overcome a habit or basic intuition.

  • Re: Does functional language have the chance to become popular among mortal

    by Gresham Paul /

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    Just practice on some problems with scheme if that's what you're learning. Don't try (yet) to write functionally within, say Java, or something similar. Once you've solved a few problems using scheme, you might do things differently in your normal environment, but you'll never be fully using FP until you're in an FP environment. For example if you're a Java dev, you might eventually decide to embed ABCL, Clojure, ECMA Script or even JRuby into your apps so some problems can be solved functionally.

  • Code in Scala

    by Steve Thompson /

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    One of the biggest problems with this presentation is the use of Scheme. I'm sorry, but all of those silly parenthesis make my mouse hover over the back button, and besides, it's not like Scheme or any other Lisp variant (besides Clojure) is a probable fixture in my programming future. But I do really like functional programming, and the language that has helped me wrap my mind around it the easiest has been Scala, which can read rather simply. For example, here is how one could determine the length of a list:


    // A is a generic parameter, match/case is akin to a switch/case
    // mechanism in Java, Nil denotes an empty list, and the =>
    // operator in this context separate the case from its associated
    // logic. Return is not used as Scala methods return the last
    // expression evaluated.

    def length[A](list: List[A]): Int = list match {
    case Nil => 0
    case first :: theRest => 1 + length(theRest)
    }


    This syntax still takes some getting used to for someone more used to Java for example, but it is a lot less noisy than the Scheme code shown.

    As far as doing things like multiplying elements of an integer list, this becomes visually pretty easy to read with Scala:


    // Notice the lambda (anonymous function) given to map
    def timesTwo(values: List[Int]): List[Int] =
    values.map((value: Int) => value * 2)

    // or, more simply because of type inference

    def timesTwo(values: List[Int]): List[Int] =
    values.map(value => value * 2)

    // or, even simpler still (because creating an identifier for
    // each value just adds more ceremony to our code), here is
    // the same with 'placeholder' syntax

    def timesTwo(values: List[Int]): List[Int] = values.map(_ * 2)


    I think that cognitively, this kind of declarative code is easier to grasp for people who haven't been raised in an imperative programming world, because what's expressed reads a lot like how we think: 'given a list of integers, create a new list where each value from the original has been doubled'. We state WHAT we are trying to do, without going into all the gory details of HOW it might be done.

    But these two examples, because they are so trivial, hardly make the case for functional. A more real life example of functional comes in to play when the following simple Java code is considered:


    // Typical open resource/do something with resource/close resource
    public <T> void save(T item)
    {
    Connection connection = Db.openConnection();
    try { connection.store(item); } finally { connection.close(); }
    }


    This is how (for the object database db4o) we might perform a save. The trouble is, we would largely have to duplicate the connection-try-finally for other operations like delete as well. This isn't very DRY. To rectify this, we can separate what stays the same (boilerplate) from what varies in the following way:


    // We'll pass in a function as a parameter. The signature for this
    // is Connection => Unit, which basically means the function takes
    // a Connection but doesn't return anything.
    def transact(f: Connection => Unit): Unit = {
    val connection = Db.openConnection()
    try{ f(connection) } finally { connection.close() }
    }

    // Now our save can be very DRY
    def save[A](item: A) = transact(_.store(item))

    // And similarly other operations
    def delete[A](item: A) = transact(_.delete(item))

    // This can be easily tied into collections. Note that this is
    // potentially much more efficient than calling transact repeatedly
    // for each item
    def deleteAll[A](items: List[A]) = transact(items foreach _.delete)


    Just as a parting observation I'd like to mention that increasingly it is getting hard to pick up a language without noticing functional characteristics. Python, Ruby, Groovy, C#, JavaScript, ActionScript, etc all support FP to varying degrees, and Java will eventually as well. Because of the growing ubiquity of these concepts, it is becoming much harder to try and ignore them.

  • Availability of Parser Combinator Example?

    by Morgan Creighton /

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    Thanks very much to Alexandru and Steve for the Clojure and Scala examples. Are Dr. Parsons's Parser Combinator examples available, which she covered some 45 or so minutes in?

    I could not find them in the slides here qconlondon.com/dl/qcon-london-2010/slides/Rebec... and unfortunately the video did not reveal them.

  • Use of continuations for parallel workflows

    by Nermin Serifovic /

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    Around 52:00 Rebecca talks about using continuations for parallel workflows. I am not able to quite understand in her example with multiple processing legs what would be modeled as a continuation. Can somebody shed some light? Thanks!

  • Re: Getting lost again

    by Jack Repenning /

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    I think this question was pretty thoroughly answered long ago, in the Algol-68 report:


    No proper program contains an indication which as an operator-applied occurrence identifies an operator-defining occurrence which as an indication-applied occurrence identifies an indication-defining occurrence different from the one identified by the given indication as an indication-applied occurrence.

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