Read the blog at http://fokkezb.nl/2013/09/20/url-schemes-for-ios-and-android-2/
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sftp.user=xxx | |
sftp.connection=xxxx:port-num | |
sftp.private_key_path=xxx |
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http://www.scala-sbt.org/release/tutorial/Installing-sbt-on-Linux.html | |
http://spray.io/introduction/getting-started/#getting-started |
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package com.levelsbeyond; | |
import java.util.Date; | |
import java.util.concurrent.Callable; | |
import java.util.concurrent.LinkedBlockingQueue; | |
import java.util.concurrent.ThreadPoolExecutor; | |
import java.util.concurrent.TimeUnit; | |
/** | |
* Thread Test |
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#!/bin/bash | |
# Copyright bitly, Aug 2011 | |
# written by Jehiah Czebotar | |
DATAFILE="/var/tmp/nagios_check_forkrate.dat" | |
VALID_INTERVAL=600 | |
OK=0 | |
WARNING=1 | |
CRITICAL=2 |
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#!/usr/bin/env ruby | |
# List all keys stored in memcache. | |
# Credit to Graham King at http://www.darkcoding.net/software/memcached-list-all-keys/ for the original article on how to get the data from memcache in the first place. | |
require 'net/telnet' | |
headings = %w(id expires bytes cache_key value) | |
rows = [] |
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""" | |
Simple Linear Probabilistic Counters | |
Credit for idea goes to: | |
http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html | |
http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-data-mining/ | |
Installation: | |
pip install smhasher | |
pip install bitarray |
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# DATA FRAME OPERATIONS IN R | |
# Create data frame | |
# A dataset is ~ table (list of vectors) | |
id <- c(1,2,3) | |
name <- c("John", "Kirk", "AJ") | |
age <- c(21,27,18) | |
employees <- data.frame(ID=id, Name=name, Age=age) | |
employees |
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#include <stdio.h> | |
#include <stdlib.h> | |
#include <string.h> | |
#include <assert.h> | |
#include "zlib.h" | |
//#define CHUNK 16384 | |
#define CHUNK 1024 | |
#define INFLAT_RATE 16 | |
#define DEFLAT_RATE 1.2 |