LukasFB

import React, { useState } from "react"
import PropTypes from 'prop-types'

import "./input.css"
import TypingIndicator from "./TypingIndicator"

const input = (props) => {

    const styles = ["plank", "staggered", "split"]
    const [stateIsFocused, setStateIsFocused] = useState(false)

katef

#!/usr/bin/awk -f

# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
# My copy here is written in awk instead of C, has no compelling benefit.
# Public domain. @thingskatedid

# Run as awk -v x=xyz ... or env variables for stuff?
# Assumptions: the data is evenly spaced along the x-axis

# TODO: moving average

gustavofranke

import scala.io.StdIn.readLine
import scala.util.Try

/**
  * Trivial code, anyone would understand what's going on here.
  * But requirements change, and we never know in which direction the change will be.
  * 
  * The code has a procedural and interactive nature, how would you go about this in another, let alone better way?
  * Still, it has bugs; so let's find them and solve them first
  */

jdegoes

object test {
  import scalaz.zio._

  type UserID = String
  case class UserProfile(name: String)

  // The database module:
  trait Database {
    val database: Database.Service

Bleuje

// Processing code by Etienne JACOB
// motion blur template by beesandbombs
// opensimplexnoise code in another tab might be necessary
// --> code here : https://gist.github.com/Bleuje/fce86ef35b66c4a2b6a469b27163591e


int[][] result;
float t, c;

float ease(float p) {

alexellis

Ramp up your Kubernetes development, CI-tooling or testing workflow by running multiple Kubernetes clusters on Ubuntu Linux with KVM and minikube.

In this tutorial we will combine the popular minikube tool with Linux's Kernel-based Virtual Machine (KVM) support. It is a great way to re-purpose an old machine that you found on eBay or have gathering gust under your desk. An Intel NUC would also make a great host for this tutorial if you want to buy some new hardware. Another popular angle is to use a bare metal host in the cloud and I've provided some details on that below.

We'll set up all the tooling so that you can build one or many single-node Kubernetes clusters and then deploy applications to them such as OpenFaaS using familiar tooling like helm. I'll then show you how to access the Kubernetes clusters from a remote machine such as your laptop.

Pre-reqs

• This tutorial uses Ubuntu 16.04 as a base installation, but other distributions are supported by KVM. You'll need to find out how to install

densh

import scalanative.native._
import SDL._
import SDLExtra._

@extern
@link("SDL2")
object SDL {
  type Window   = CStruct0
  type Renderer = CStruct0

kbilsted

Moved to https://github.com/kbilsted/Functional-core-imperative-shell/blob/master/README.md

etorreborre

Advanced Functional Programming with Scala - Notes

Copyright © 2017 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

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