darul75

Use Brew

> brew install libjpeg 

find /usr | grep "libjpeg"

find /opt | grep "libjpeg"

Here what I have done

darul75

This demonstrates raster-based reverse geocoding using canvas and D3.js. Geocoding is based on the color of the pixel at a given projected position. Note that the canvas is only shown here for the sake of explanation and debugging - this would in fact probably work faster if the canvas was not attached to the document at all.

The biggest remaining issue here is precision, which depends on:

• the size of the canvas, and
• the projection used.

Determining the optimum size based on the accuracy of your data is left as an exercise for the reader. Edge cases will also fail here, generally returning null - one option might be to stroke neighborhoods in a color, and then return an "uncertain" value for any non-grayscale pixel.

darul75

<canvas width=220 height=150></canvas>

darul75

var util = require('util'),
    http = require('http'),
    events = require('events');

var Twitter = function(opts) {
    this.username = opts.username;
    this.password = opts.password;
    this.track = opts.track;
    this.data = '';
};

darul75

/*
 * twitter-entities.js
 * This function converts a tweet with "entity" metadata 
 * from plain text to linkified HTML.
 *
 * See the documentation here: http://dev.twitter.com/pages/tweet_entities
 * Basically, add ?include_entities=true to your timeline call
 *
 * Copyright 2010, Wade Simmons
 * Licensed under the MIT license

darul75

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

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.

---

darul75

// Example Data
var CARS = [
    {name: "Ferrari FF", horsepower: 660, dollar_value: 700000, in_stock: true},
    {name: "Spyker C12 Zagato", horsepower: 650, dollar_value: 648000, in_stock: false},
    {name: "Jaguar XKR-S", horsepower: 550, dollar_value: 132000, in_stock: false},
    {name: "Audi R8", horsepower: 525, dollar_value: 114200, in_stock: false},
    {name: "Aston Martin One-77", horsepower: 750, dollar_value: 1850000, in_stock: true},
    {name: "Pagani Huayra", horsepower: 700, dollar_value: 1300000, in_stock: false}
  ];

darul75

/*********************************************************/

// Exercise: Readers
// https://tour.golang.org/methods/11

package main

import "code.google.com/p/go-tour/reader"

type MyReader struct{}

darul75

var fs = require('fs');
Int64 = require('node-int64');
var varint = require('varint');
var lazy = require("lazy");

// http://braindrivendevelopment.com/2013/10/31/reading-a-file-in-node-js/
// http://lucene.apache.org/core/3_0_3/fileformats.pdf

var bufferSegmentGen = fs.readFileSync('./segments.gen');
var bufferSegments = fs.readFileSync('./segments_4o4');

darul75

/* 
GITHUB MARKDOWN EXTRACTOR RULES

https://guides.github.com/features/mastering-markdown/

http://www.table-ascii.com/

http://www.loc.gov/marc/specifications/specchartables.html

http://www.utf8-chartable.de/unicode-utf8-table.pl