airbender 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' };

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

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

Realtimeliness: Mapping RealTime Data

July 29, 2015

Find this document here:

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

Outline

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.

	#!/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

	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; }

	--- 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")

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

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

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

	◆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。

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