As configured in my dotfiles.
start new:
tmux
start new with session name:
*.pbxproj -crlf -diff -merge |
As configured in my dotfiles.
start new:
tmux
start new with session name:
<?php | |
require('workflows.php'); | |
$w = new Workflows(); | |
// Grab input and build query url string | |
$in = "{query}"; | |
$url = "http://completion.amazon.co.uk/search/complete?method=completion&q=".urlencode( $in )."&search-alias=aps&mkt=4&x=updateISSCompletion&noCacheIE=1295031912518"; | |
// Grab the data from Amazon | |
$str = $w->request( $url ); |
# Copyright 2012 Erlware, LLC. All Rights Reserved. | |
# | |
# This file is provided to you 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, |
Our Virtual Machines are provisioned using Vagrant from a Linux base box to run using VirutalBox. If the Hard Disk space runs out and you cannot remove files to free-up space, you can resize the Hard Disk using some VirtualBox and Linux commands.
The following steps assume you've got a set-up like mine, where:
"UserData": { | |
"Fn::Base64": { "Fn::Join":["", [ | |
"#!/bin/bash -ex\n", | |
"apt-get update\n", | |
"apt-get -y install python-setuptools\n", | |
"mkdir aws-cfn-bootstrap-latest\n", | |
"curl https://s3.amazonaws.com/cloudformation-examples/aws-cfn-bootstrap-latest.tar.gz | tar xz -C aws-cfn-bootstrap-latest --strip-components 1\n", | |
"easy_install aws-cfn-bootstrap-latest\n", | |
"/usr/local/bin/cfn-init --stack ", { "Ref":"AWS::StackName" }, " --resource WebServer", " --region ", { "Ref": "AWS::Region" }, "\n", | |
"\n", |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
This document is a collection of concepts and strategies to make large Elm projects modular and extensible.
We will start by thinking about the structure of signals in our program. Broadly speaking, your application state should live in one big foldp
. You will probably merge
a bunch of input signals into a single stream of updates. This sounds a bit crazy at first, but it is in the same ballpark as Om or Facebook's Flux. There are a couple major benefits to having a centralized home for your application state:
sudo su - | |
mkdir -p /opt/bin | |
curl -L https://github.com/docker/compose/releases/download/1.5.1/docker-compose-`uname -s`-`uname -m` > /opt/bin/docker-compose | |
chmod +x /opt/bin/docker-compose |
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 !
myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))