edwardbeckett

import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.OutputStreamWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.security.MessageDigest;
import java.text.SimpleDateFormat;
import java.util.Calendar;
import java.util.Date;

edwardbeckett

//Requires jQuery - http://jquery.com/
//Requires jsSHA (sha1.js) - http://caligatio.github.io/jsSHA/

Xrm = window.Xrm || { __namespace: true };
Xrm.CRMAuth = Xrm.CRMAuth || { __namespace: true };

/// <summary>Gets a CRM Online SOAP header & expiration.</summary>
/// <param name="url" type="String">The Url of the CRM Online organization (https://org.crm.dynamics.com).</param>
/// <param name="username" type="String">Username of a valid CRM user.</param>
/// <param name="password" type="String">Password of a valid CRM user.</param>

edwardbeckett

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.alan01252</groupId>
    <artifactId>dynamics-crm-connect</artifactId>
    <version>1.0-SNAPSHOT</version>
    <build>

edwardbeckett

I wrote this fairly straightforward cross-browser linear gradient mixin:

@mixin gradient($from-color, $to-color) {
	background-color: mix($from-color, $to-color); /* Fallback */
	background-image: -webkit-gradient(linear, 0% 0%, 0% 100%, from($from-color), to($to-color));
	background-image: -webkit-linear-gradient(top, $from-color, $to-color); 
	background-image:    -moz-linear-gradient(top, $from-color, $to-color);
	background-image:     -ms-linear-gradient(top, $from-color, $to-color);
	background-image: -o-linear-gradient(top, $from-color, $to-color);

edwardbeckett

//////////////////////////////////////////////////////////////
//  Font Variables (http://cssfontstack.com/)
//////////////////////////////////////////////////////////////

//
// Serif font-stacks
//

$baskerville-font-stack: "Big Caslon", "Book Antiqua", "Palatino Linotype", Georgia, serif !default;

edwardbeckett

This example expects to have d3.min.js and d3.layout.min.js in the same directory as pie.js and pie_serv.js.

Run with node pie_serv.js

edwardbeckett

package recfun

import scala.collection.mutable.ListBuffer
import common._

/** https://class.coursera.org/progfun-2012-001/assignment/view?assignment_id=4 */
object Main {
  def main(args: Array[String]) {
    println("Pascal's Triangle")
    for (row <- 0 to 10) {

edwardbeckett

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
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

edwardbeckett

#!/bin/bash
#
# Tomcat 8 start/stop/status init.d script
# Initially forked from: https://gist.github.com/valotas/1000094
# @author: Miglen Evlogiev <[email protected]>
#
# Release updates:
# Updated method for gathering pid of the current proccess
# Added usage of CATALINA_BASE
# Added coloring and additional status

edwardbeckett

Introduction to scalaz-stream

Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.

The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca