tomykaira

#!/bin/sh

# Licence: MIT
# Created by tomykaira, 2011-10-25

if [ $# -ne 1 ]; then
  echo "Give me your new project name (only)"
  exit 1
fi

trcarden

# SSL self signed localhost for rails start to finish, no red warnings. 

# 1) Create your private key (any password will do, we remove it below)

$ openssl genrsa -des3 -out server.orig.key 2048


# 2) Remove the password

$ openssl rsa -in server.orig.key -out server.key

ozkatz

#!/usr/bin/env python
import os
import sys
import argparse

try:
    from boto.ec2.connection import EC2Connection
except ImportError:
    sys.stderr.write('Please install boto ( http://docs.pythonboto.org/en/latest/getting_started.html )\n')
    sys.exit(1)

mikesname

This is a very simple approach to doing role-based access control with Neo4j. It is optimistic, in the sense that all items are assumed to be world-readable unless they have specific constraints. Item visibility can be constrained to either individual users or all users who belong to a role. Roles are also hierarchical, so can inherit privileges from other roles.

First, lets create our basic example data:

jboner

Akka Cluster Implementation Notes

Slightly disorganized but reasonably complete notes on the algorithms, strategies and optimizations of the Akka Cluster implementation. Could use a lot more links and context etc., but was just written for my own understanding. Might be expanded later.

Links to papers and talks that have inspired the implementation can be found on the 10 last pages of this presentation.

Akka Gossip

Gossip state

This is the Gossip state representation:

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

stuart-marks

import java.util.*;
import java.util.function.*;
import java.util.stream.*;

import static java.util.stream.Collectors.*;
import static java.util.Comparator.*;

/**
 * http://stackoverflow.com/questions/22845574/how-to-dynamically-do-filtering-in-java-8
 * 

janodev

// Code from “Functional Programming in Java, Chapter 7”.

import java.util.function.Function;
import java.util.stream.Stream;
import java.math.BigInteger;


@FunctionalInterface
interface TailCall<T> {

Kartones

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

• -E: will describe the underlaying queries of the \ commands (cool for learning!)
• -l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

maerzbow

import static java.nio.charset.StandardCharsets.ISO_8859_1;
import static java.nio.charset.StandardCharsets.UTF_16BE;
import static java.nio.charset.StandardCharsets.UTF_16LE;
import static java.nio.charset.StandardCharsets.UTF_8;

import java.nio.ByteBuffer;
import java.nio.CharBuffer;
import java.nio.charset.CharacterCodingException;
import java.nio.charset.Charset;
import java.nio.charset.CharsetDecoder;