blahah

---
title: "test"
author: "Richard Smith-Unna"
date: "21 May 2015"
output: html_document
---
 
Demo of reading an R file and dumping it raw into the HTML produced by knitr from RMarkdown, to get syntax highlighting.
 
Put the code you want to display in `import.R`.

abhin4v

module Calc
( Expr(..)
, parse
, calculate
) where

import Control.Applicative
import Parser

data Expr = Add Expr Expr

safferli

lseq <- function(from=1, to=100000, length.out=6) {
  # logarithmic spaced sequence
  # blatantly stolen from library("emdbook"), because need only this
  exp(seq(log(from), log(to), length.out = length.out))
}

steko

aagarw30

library(shiny)
library(ggplot2)
shinyServer(function(input,output)({
  # x contains all the observations of the x variable selected by the user. X is a reactive function
  x <- reactive({
    iris[,as.numeric(input$var1)]
  })
  # x contains all the observations of the y variable selected by the user. Y is a reactive function
  y <- reactive({
    iris[,as.numeric(input$var2)]

fideloper

#! /usr/bin/env bash

# Install any build dependencies needed for curl
sudo apt-get build-dep curl

# Get latest (as of Feb 25, 2016) libcurl
mkdir ~/curl
cd ~/curl
wget http://curl.haxx.se/download/curl-7.50.2.tar.bz2
tar -xvjf curl-7.50.2.tar.bz2

vhodges

/**
 * A simple theme for reveal.js presentations, derived from serif.css 
 * It's in the spirit of the Metropolis theme for beamer https://github.com/matze/mtheme
 *
 * This theme is Copyright (C) 2016 Vince Hodges, http://sourdoughlabs.com - it is MIT licensed.
 */

@import url('https://fonts.googleapis.com/css?family=Fira+Sans');

.reveal a {

robertpainsi

Commit Message Guidelines

Short (72 chars or less) summary

More detailed explanatory text. Wrap it to 72 characters. The blank
line separating the summary from the body is critical (unless you omit
the body entirely).

Write your commit message in the imperative: "Fix bug" and not "Fixed
bug" or "Fixes bug." This convention matches up with commit messages

cscalfani

Monoids in Haskell, an Introduction

Why should programmers care about Monoids? Because Monoids are a common pattern that shows up over and over in programming. And when patterns show up, we can abstract them and leverage work we've done in the past. This allows us to quickly develop solutions on top of proven, stable code.

Add Commutative Property to a Monoid (Commutative Monoid) and you have something that can be executed in parallel. With the end of Moore's Law, parallelism is our only hope to increasing processing speeds.

What follows is what I've learned after studying Monoids. It is hardly complete, but hopefully will prove to be helpful as an introduction for others.

Monoid Lineage

benmarwick

# Adapted from https://stackoverflow.com/a/7267364/1036500 by Andrie de Vries

# This is it: theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))

library(ggplot2)

td <- expand.grid(
  hjust=c(0, 0.5, 1),
  vjust=c(0, 0.5, 1),
  angle=c(0, 45, 90),