aaronlevin

-- Our goal is to create a type describing a list of events. This is our
-- type-level DSL.
-- We will then use typeclass resolution to "interpret" this type-level DSL
-- into two things:
-- 1. A comma-separated list of events
-- 2. A method that, when given an event name and a payload, will try to parse
--    that event type with the payload. A form of dynamic dispatching
--
-- To model a list of types we will use tuples. You can imagine the list of
-- types "Int, String, Char" to look like:

dcode

GitHub Flavored Asciidoc (GFA)

jdegoes

Applied Functional Programming with Scala - Notes

Copyright © 2016-2018 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

raulraja

{-# LANGUAGE DeriveFunctor #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE OverlappingInstances #-}

module Main where

import Control.Monad.Free

davidfowl

namespace Analogy
{
    /// <summary>
    /// This example shows that a library that needs access to target .NET Standard 1.3
    /// can only access APIs available in that .NET Standard. Even though similar the APIs exist on .NET 
    /// Framework 4.5, it implements a version of .NET Standard that isn't compatible with the library.
    /// </summary>INetCoreApp10
    class Example1
    {
        public void Net45Application(INetFramework45 platform)

loicdescotte

class Application @Inject() (implicit actorSystem: ActorSystem, exec: ExecutionContext) extends Controller {
   
   implicit val materializer = ActorMaterializer()

   val Tick = "tick"

   class TickActor(queue: SourceQueue[String]) extends Actor {
     def receive = {
       case Tick => queue.offer("tack")
     }

yang-wei

Should be work with 0.18

Destructuring(or pattern matching) is a way used to extract data from a data structure(tuple, list, record) that mirros the construction. Compare to other languages, Elm support much less destructuring but let's see what it got !

Tuple

myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))

cartermp

Maxpath and .NET

Changes to .NET Core now allow for longer paths for directories. Here's a sample showcasing that.

Note: this sample is running on .NET Core. The easiest way to get going with that is to get the bits, create these files in a directory, and open that directory with Visual Studio Code.

To build and run:

$ dnu restore

dfinke

Function GenerateDSC {

$WindowsFeature = Get-WindowsFeature | Where {$PSItem.installed -and $PSItem.name -match 'net-framework'} | % {

@"

WindowsFeature $($PSItem.name) {
    Ensure = 'Present'
    Name = "$($PSItem.name)"
}

dfinke

Configuration DotNetFrameWork{
    param($TargetMachine)

    Node $TargetMachine {
            
        WindowsFeature NET-Framework-Features {
            Ensure = 'Present'
            Name = "NET-Framework-Features"
        }