kevinold

Parameters:
  Env:
    Description: An environment name that will be prefixed to resource names
    Type: String
    AllowedValues: ["development", "production"]

resources:
  NetworkRole:
    Type: "AWS::IAM::Role"
    Properties: 

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AWSTemplateFormatVersion: 2010-09-09

Description: >
  Constructs a managed IAM policy to deploy a serverless project.

  This template assumes the stack is being deployed in the current region and account.
  You can then attach this policy to other IAM objects, such as users or roles.

  Based on the work done in: https://github.com/serverless/serverless/issues/1439

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javascript:document.body.contentEditable = 'true'; document.designMode='on'; void 0

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-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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#!/bin/bash

sudo kextunload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport
sudo kextload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport

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List()
var list = Immutable.List([1,2,3])
// [1, 2, 3]

List.isList()
Immutable.List.isList(list)
// true

List.of()
var list = Immutable.List.of(1,2,3);

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import React from 'react';
import MyCoolTextarea from '../MyCoolTextarea';
import MyCoolCounter from '../MyCoolCounter';

const MyCoolComponent = React.createClass({

  // Define a method on the parent component describing what should happen when
  // the textarea gets updated. At this point, the only thing needed is to store
  // the length of the textarea’s content in a state on the parent component.
  //

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var completed = 30;
var target = 30;
var progress = Math.ceil(completed / target * 100);
console.log(progress);

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Nodecopter

Overview

In this workshop you'll learn about the wonderful world of autonomous flying robots, specifically the AR Drone 2.0 provides a high level API to send commands, read data back and stream video from it's HD camera.

We'll start writing basic programs to take off and land, and before you know it you'll be using feedback from a wealth of onboard sensors to perform more impressive maneuvers and behaviours.

Preparations

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#!/usr/bin/env bash
#
# Author: Stefan Buck
# License: MIT
# https://gist.github.com/stefanbuck/ce788fee19ab6eb0b4447a85fc99f447
#
#
# This script accepts the following parameters:
#
# * owner