viktorklang

/*
Copyright 2012-2021 Viktor Klang
 
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at
 
       http://www.apache.org/licenses/LICENSE-2.0
 
   Unless required by applicable law or agreed to in writing, software

quchen

13:15 <xQuasar>      | HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF 
                     | FUCKIN PUSSIES
13:15 <xQuasar>      | JAVASCRIPT FOR LIFE FAGS
13:16 <luite>        | hello
13:16 <ChongLi>      | somebody has a mental illness!
13:16 <merijn>       | Wow...I suddenly see the error of my ways and feel 
                     | compelled to write Node.js!
13:16 <genisage>     | hi
13:16 <luite>        | you might be pleased to learn that you can compile 
                     | haskell to javascript now

ckirkendall

(use '[clojure.core.match :only [match]])

(defn evaluate [env [sym x y]]
  (match [sym]
    ['Number]   x
    ['Add]      (+ (evaluate env x) (evaluate env y))
    ['Multiply] (* (evaluate env x) (evaluate env y))
    ['Variable] (env x)))
    
(def environment {"a" 3, "b" 4, "c" 5})

pchiusano

Take-home functional programming interview

This document is licensed CC0.

These are some questions to give a sense of what you know about FP. This is more of a gauge of what you know, it's not necessarily expected that a single person will breeze through all questions. For each question, give your answer if you know it, say how long it took you, and say whether it was 'trivial', 'easy', 'medium', 'hard', or 'I don't know'. Give your answers in Haskell for the questions that involve code.

Please be honest, as the interviewer may do some spot checking with similar questions. It's not going to look good if you report a question as being 'trivial' but a similar question completely stumps you.

Here's a bit more guidance on how to use these labels:

jorgeortiz85

// Usage:
//   p(instance)('privateMethod)(arg1, arg2, arg3)

class PrivateMethodCaller(x: AnyRef, methodName: String) {
  def apply(_args: Any*): Any = {
    val args = _args.map(_.asInstanceOf[AnyRef])
    def _parents: Stream[Class[_]] = Stream(x.getClass) #::: _parents.map(_.getSuperclass)
    val parents = _parents.takeWhile(_ != null).toList
    val methods = parents.flatMap(_.getDeclaredMethods)
    val method = methods.find(_.getName == methodName).getOrElse(throw new IllegalArgumentException("Method " + methodName + " not found"))

djspiewak

Introduction to scalaz-stream

Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.

The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca

lamdor

scalaVersion := "2.11.8"
scalaOrganization := "org.typelevel"

libraryDependencies ++= Seq(
  "org.typelevel" %% "cats" % "0.9.0",
  "org.atnos" %% "eff" % "4.0.0"
)

addCompilerPlugin("org.spire-math" %% "kind-projector" % "0.9.3")

bitemyapp

The Learning Haskell guide has been moved to a git repo to enable outside contribution

Find it here: https://github.com/bitemyapp/learnhaskell

momania

import akka.amqp.AMQP._
import akka.amqp._
import akka.actor._
import java.util.concurrent.{TimeUnit, CountDownLatch}
import util.Random

object LoadBalancingDemo {

  def main(args: Array[String]) {

mads-hartmann

#
# This script will install the following Textmate bundles
#
# Languages
#   - c                         https://github.com/textmate/c.tmbundle
#   - coffeescript              https://github.com/jashkenas/coffee-script-tmbundle
#   - context free              https://github.com/textmate/context-free.tmbundle
#   - erlang                    https://github.com/textmate/erlang.tmbundle
#   - haskell                   https://github.com/textmate/haskell.tmbundle.git
#   - html                      https://github.com/textmate/html.tmbundle