MrHassanMurtaza

#!/bin/bash

# install packages/dependencies for compilation 
sudo yum -y install gcc make ncurses-devel

cd /tmp

# the latest version of ncdu is published here: http://dev.yorhel.nl/ncdu
# update the link below if necessary:
wget -nv http://dev.yorhel.nl/download/ncdu-1.10.tar.gz

umrashrf

sudo pip install awscli
aws configure
aws ses send-email \
  --from "[email protected]" \
  --destination "[email protected]" \
  --message "Subject={Data=from ses,Charset=utf8},Body={Text={Data=ses says hi,Charset=utf8},Html={Data=,Charset=utf8}}"

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

jurka

#run as sudo
apt-get install python-setuptools curl
easy_install supervior

curl https://raw.github.com/gist/176149/88d0d68c4af22a7474ad1d011659ea2d27e35b8d/supervisord.sh > /etc/init.d/supervisord

#to run it
chmod +x /etc/init.d/supervisord

#adding to autostart

mshafrir

{
    "AL": "Alabama",
    "AK": "Alaska",
    "AS": "American Samoa",
    "AZ": "Arizona",
    "AR": "Arkansas",
    "CA": "California",
    "CO": "Colorado",
    "CT": "Connecticut",
    "DE": "Delaware",

OakRaven

class ComboBoxItem
  constructor: (@id, @name) ->


class App
  textEntry:  ko.observable("")
  collection: ko.observableArray([])

  addToCollection: ->
    item = new ComboBoxItem(@collection().length, @textEntry())

cystbear

<?php

class DefaultController extends Controller
{
    /**
    * Dashboard page.
    * @Permissions(perm="dashboard_view")
    * @Route("/", name="ITEDashboardBundle_index")
    * @Template()
    * @return array

Djexus

import inspect

def curry(func, *args, **kwargs):

    '''
    This decorator make your functions and methods curried.

    Usage:
    >>> adder = curry(lambda (x, y): (x + y))
    >>> adder(2, 3)

justfalter

SUMMARY
I like to use kcachegrind for doing profiling on my ruby code. Most of my development
is done on OSX, and while you can install kcachegrind via macports, it takes forever
because it has to build KDE, as well. Much to my surprise, the fine folks who 
wrote kcachegrind also made a QT version, qcachegrind. I was able to build this on
OSX without too much effort, only having to install QT and GraphViz. Yippie!

I'm running OSX 10.6.7, with Xcode 4. My default gcc/g++ version is 4.2. I'm sure
it will build just fine on earlier versions of Xcode, but I haven't tested it.

danmackinlay

#! /bin/sh
### BEGIN INIT INFO
# Provides:          supervisord
# Required-Start:    $remote_fs
# Required-Stop:     $remote_fs
# Default-Start:     2 3 4 5
# Default-Stop:      0 1 6
# Short-Description: Example initscript
# Description:       This file should be used to construct scripts to be
#                    placed in /etc/init.d.