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#!/usr/bin/env ruby

# by @tapbot_paul
# http://dump.beaugil.es/blog/itunesmatch/

# Don't blame me if this nukes your metadata, formats your drive, kills your kids
# This script goes through any iCloud Matched songs in your iTunes library and tries to update the
# metadata from the iTunes Store
# Will run against selected tracks or if nothing selected entire library
# install the required gems with the following commands

digideskio

A series of posts on css-in-js

0. styles as objects

First, an exercise. Can we represent all of css with plain data? Let's try.

let redText = { color: 'red' };

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using System.Linq;
using ServiceStack;
using ServiceStack.Text;

public class GithubRepository
{
    public string Name { get; set; }
    public string Description { get; set; }
    public string Url { get; set; }
    public string Homepage { get; set; }

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--- Needed modules
local component     = require("component")
local shell         = require("shell")
local fm            = component.openfm_radio
local args, options = shell.parse(...)

if #args == 1 then
  if args[1] == "-h" then
    io.write("Usage: iRadio [station id]\n")
    io.write("Copyright (c) 2016 Dwight Spencer (@denzuko) <0XFC13F74B>, All Rights Reserved.\n")

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If you have been playing around with the new Mapbox Studio you might be interested to know how to make a custom map with objects of your own interest from OpenStreetMap.

To make the process of creating an updating an OSM based dataset on Mapbox more seamless, I was looking into a command line based workflow that could extract OSM data from Overpass and update a Mapbox hosted dataset in one go.

Requirements

• query-overpass
• mapbox-cli

Generate an Overpass Query

• Use Overpass Turbo to create a query for the data you are interested in extracting. Since i'm interested in bus stops, I first browse the map to Bengaluru, India and then generate a query using the wizard query highway=bus_stop

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#import('dart:io');
#import('dart:isolate');

void main() {
  var type = 'fast';

  var args = new Options().arguments;
  if (args.length > 0) {
    type = args[0];
  }

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Realtimeliness: Mapping RealTime Data

July 29, 2015

Find this document here:

• Gist: http://tinyurl.com/140realtime
• Etherpad: https://etherpad.mozilla.org/realtimely

Outline

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◆概要
スマートフォンのカメラで眼球を読み取り本人確認できるソリューションを提供。
自分の眼球の中の血管の流れを撮影し認証するため、写真は不可。
20cm程度近づける必要あり。3秒程度で認証可能。（アプリ利用結果）

◆強み
・99.99%の精度
・外付け器具なしで簡単にサービスへ組み込み可能
・暗号化してローカルに保存するため、消えたり、盗まれたりすることはない。
・動く目でも認証可能。

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[{
	"id": "546be34d.bd9d64",
	"type": "watson-question-answer",
	"name": "",
	"output": "top",
	"corpus": "healthcare",
	"x": 377,
	"y": 115,
	"z": "45fca0cc.ba036",
	"wires": [

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In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm