Shiny shinyzhu

Analyzing the U-Bahn Network with Neo4J

The goal of this exercise is to extract information about the Berlin metro system from Wikidata and to analyze its relationships with Neo4j.

Run ffmpeg in a separate screen.

screen -S stream

Then run the streaming script.

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0">
	<title>专注力训练：数数</title>
	<style type="text/css">
	h1{border-bottom: 1px solid #cccccc;}
	div#options{margin:0 0 1em 0;background: #efefef; padding: .3em;text-align: center;}

	#------------ bootstrap the cluster nodes --------------------

	redis_image='redis:5'
	network_name='host' # must be in host mode

	#---------- create the cluster ------------------------

	for port in `seq 6379 6384`; do \
	start_cmd="redis-server --port $port --cluster-enabled yes --cluster-config-file nodes.conf --cluster-node-timeout 5000 --appendonly yes"
	docker run -d --name "redis-"$port -p $port:6379 --net $network_name $redis_image $start_cmd;

	Option Explicit

	Sub AddProgressBar()
	On Error Resume Next
	With ActivePresentation
	For X = 1 To .Slides.Count

	.Slides(X).Shapes("PB").Delete

	Set s = .Slides(X).Shapes.AddShape(msoShapeRectangle, _

	Option Explicit

	Sub RemoveWatermarks()

	'image watermark values
	Dim imgWidth As Double, imgHeight As Double, delta As Double
	imgWidth = 100.12
	imgHeight = 100.12
	delta = 0.1

	/// <summary>
	/// See https://developers.google.com/maps/documentation/utilities/polylinealgorithm
	/// </summary>
	public static class GooglePoints
	{
	/// <summary>
	/// Decode google style polyline coordinates.
	/// </summary>
	/// <param name="encodedPoints"></param>
	/// <returns></returns>