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/*
 *    Copyright (c) 2010 Tobias Schneider
 *    This script is freely distributable under the terms of the MIT license.
 */

(function(){
    var UPC_SET = {
        "3211": '0',
        "2221": '1',
        "2122": '2',

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BEGIN
IF age < 7 AND clean = 'Poor' OR 'FAIR' THEN
		UPDATE flight_info SET cleaning = 'Y';
	ELSE
		UPDATE flight_info SET cleaning = 'N';
END IF;

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The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.

Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.

It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.

Now with Clustering Coefficients!

Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.

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Adapting the earlier OSM vector tiles example to show how to render multiple layers.

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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Latency Comparison Numbers
--------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

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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.

---

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static class EventStoreConnectionExtensions
{
    public static Task<EventStoreRxSubscription> SubscribeToAll(this EventStoreConnection connection, bool resolveLinkTos)
    {
        return Task<EventStoreRxSubscription>.Factory.StartNew(() => {
            var subject = new Subject<ResolvedEvent>();

            var subscriptionTask = connection.SubscribeToAll(resolveLinkTos, subject.OnNext, () => subject.OnError(new SubscriptionDroppedException()));
            subscriptionTask.Wait();

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// i ported that "fizzbuzz in tensorflow" to F# and Accord.Net's DeepBeliefNetwork
// http://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/

#r "Debug/Accord.dll"
#r "Debug/Accord.Math.dll"
#r "Debug/Accord.Neuro.dll"
#I "Debug"

open Accord.Neuro
open Accord.Neuro.Networks

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// Convert from normal to web-safe, strip trailing "="s
function webSafe64(base64) {
    return base64.replace(/\+/g, '-').replace(/\//g, '_').replace(/=+$/, '');
}

// Convert from web-safe to normal, add trailing "="s
function normal64(base64) {
    return base64.replace(/\-/g, '+').replace(/_/g, '/') + '=='.substring(0, (3*base64.length)%4);
}