rodricios

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""

pip install networkx distance pattern 

In Flipboard's article[1], they kindly divulge their interpretation
of the summarization technique called LexRank[2].

glen-cheney

Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

geobabbler

d3.json(
    "data/statistics.geojson",
    function (json) {
    //dimensions
    var w = 980;
    var h = 480;
    //get the center of the data
    var center = d3.geo.centroid(json);
    var svg = d3.select("body").append("svg")
    .attr("width", w)

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

paulirish

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

• elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

dwtkns

#!/usr/bin/env osascript -l JavaScript

// usage: google-earth-perspective-to-geojson.js xSamples ySamples > currentPerspective.geojson

function run(argv) {
  var xSamples = argv[0] || 50;
  var ySamples = argv[1] || 50;

  var ge = Application('Google Earth Pro');

ThomasThoren

height: 1000

timelyportfolio

Built with blockbuilder.org

Nesting and summarizing data is a very common task for data analysis. I thought it would be nice to view parallel ways of nesting and summarizing with both

• R | tidyr and dplyr
• JavaScript | d3.js ...v4 for fun

To avoid context switching, I'll take advantage of the R package V8. If you are an R user, then these d3.js gists might be helpful d3 nest examples and Mister Nester.

kingjr

# Author: Jean-Remi King <[email protected]>
"""
    Illustrate how a hinge loss and a log loss functions 
    typically used in SVM and Logistic Regression 
    respectively focus on a variable number of samples.
    For simplification purposes, we won't consider the
    regularization or penalty (C) factors.
"""
import numpy as np
import matplotlib.animation as animation

alykat

/*
 * Wrap a block of text to a given width
 * via http://bl.ocks.org/mbostock/7555321
 */
var wrapText = function(texts, width, lineHeight) {
    texts.each(function() {
        var text = d3.select(this);
        var words = text.text().split(/\s+/).reverse();

        var word = null;