Aydin Sakar AydinSakar

## keybase.md

      
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                AydinSakar
                / keybase.md
            
            
              Created
              June 16, 2014 18:41
            
          
    Keybase proof

I hereby claim:

I am aydinsakar on github.
I am aydinsakar (https://keybase.io/aydinsakar) on keybase.
I have a public key whose fingerprint is E87C 2993 16A9 F99F 3987  E6C8 42FA 7A10 D92C 4229

To claim this, I am signing this object:

  
## vector2.spec.js
/*global console window describe xdescribe it expect runs waits*/
(function () {
	require.paths.unshift(__dirname + '/../../../');
	require('thorny/base')('./config/default.json')(function ($) {
		describe('a vector2', function () {
			it('should contain the following functions', function () {
				var vector2 = $('thorny math vector2');

				expect(typeof vector2.factory).toEqual('function');
				expect(typeof vector2.centroid).toEqual('function');

## import.rb
require 'rubygems'
require 'nokogiri'
require 'fileutils'
require 'date'
require 'uri'

# usage: ruby import.rb my-blog.xml
# my-blog.xml is a file from Settings -> Basic -> Export in blogger.

data = File.read ARGV[0]

## .gitignore
jekyll

## gist:6245615
// This F# dojo is directly inspired by the
// Digit Recognizer competition from Kaggle.com:
// http://www.kaggle.com/c/digit-recognizer
// The datasets below are simply shorter versions of
// the training dataset from Kaggle.

// The goal of the dojo will be to
// create a classifier that uses training data
// to recognize hand-written digits, and
// evaluate the quality of our classifier

## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>Directed Graph Editor</title>
    <link rel="stylesheet" href="app.css">
  </head>

  <body>
  </body>

## app.css
svg {
  background-color: #FFF;
  cursor: default;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  -o-user-select: none;
  user-select: none;
}

## index.html
<!DOCTYPE html>
<html>
  <head>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.25.0"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?1.25.0"></script>
    <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.6.2/jquery.min.js"></script>
  </head>
  <body>

    <div id="chart"></div>

## README.md

      
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                AydinSakar
                / README.md
            
            
              Created
              August 19, 2013 02:06
                — forked from mbostock/.block
            
          
    The first 15 seconds of the D3 show reel. See full video at http://vimeo.com/29862153. Includes seamless transitions between the following visualization types:

lines
horizons
areas
stacked areas
streamgraph
overlapping areas
grouped bars
stacked bars


## index.html
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <style>
        body {
            font: 14px sans-serif;
        }
        .axis path, .axis line {
            fill: none;
	/global console window describe xdescribe it expect runs waits/
	(function () {
	require.paths.unshift(__dirname + '/../../../');
	require('thorny/base')('./config/default.json')(function ($) {
	describe('a vector2', function () {
	it('should contain the following functions', function () {
	var vector2 = $('thorny math vector2');

	expect(typeof vector2.factory).toEqual('function');
	expect(typeof vector2.centroid).toEqual('function');
	require 'rubygems'
	require 'nokogiri'
	require 'fileutils'
	require 'date'
	require 'uri'

	# usage: ruby import.rb my-blog.xml
	# my-blog.xml is a file from Settings -> Basic -> Export in blogger.

	data = File.read ARGV[0]
	// This F# dojo is directly inspired by the
	// Digit Recognizer competition from Kaggle.com:
	// http://www.kaggle.com/c/digit-recognizer
	// The datasets below are simply shorter versions of
	// the training dataset from Kaggle.

	// The goal of the dojo will be to
	// create a classifier that uses training data
	// to recognize hand-written digits, and
	// evaluate the quality of our classifier
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<title>Directed Graph Editor</title>
	<link rel="stylesheet" href="app.css">
	</head>

	<body>
	</body>
	svg {
	background-color: #FFF;
	cursor: default;
	-webkit-user-select: none;
	-moz-user-select: none;
	-ms-user-select: none;
	-o-user-select: none;
	user-select: none;
	}