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Functional Brighton Meet up: what functional programming means to me.

Functional Brighton Meet up: what functional programming means to me.

Ff619670d30ebdeefd49cf10af8e3292?s=128

Richard Dallaway

September 27, 2011
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Transcript

  1. Three things I’ve noticed about functional programming while using Scala.

  2. happy birthday to me happy birthday to me #lol #omg

    oops #lol oops #lol #omg 㱺 㱺 ⋮ ⋮ What have we have? What do we want?
  3. #lol, #omg & some text Some text 㱺 What have

    we have? What do we want?
  4. #lol, #omg & some text Some text 㱺 What have

    we have? What do we want? List[String], String 㱺 String
  5. def appendTags(tweet: String, tags: List[String]) = tags.foldLeft(tweet) { appendOne }

    def appendOne(tweet: String, tag: String) = if (tweet contains tag) tweet else tweet+" "+tag
  6. “It’s the mutable state, stupid.” – Göetz et al.

  7. val results = List(yahoo _, google _).par.map(_.apply)

  8. import scala.actors.Futures._ val results = List(yahoo _, google _) map

    ( f 㱺 future{ f() } ) map (_.apply)
  9. Option, for comprehensions, flatMap & pattern matching are astonishingly useful

    every day and I’d never heard of them before learning Scala.
  10. for (int i = 0; i < resultFeed.getEntries().size(); i++) {

    ContactEntry entry = resultFeed.getEntries().get(i); if (entry.hasName()) { Name name = entry.getName(); if (name.hasFullName()) { ...
  11. for { entry ← resultFeed.getEntries name ← Option(entry.getName) full_name ←

    Option(name.getFullName) birthday ← Option(entry.getBirthday) } yield "%s: %s".format(full_name.getValue, when)
  12. 1. Thinking in terms of A 㱺 B 2. Concurrency

    3. Option (& friends) change everything Summary
  13. StringBuffer b = new StringBuffer(tweet); if (tags != null) {

    for(String tag: tags) { if (tag != null && b.indexOf(tag) == -1) { b.append(tag).append(“ ”); } } } return b.toString();