dysinger

#!/bin/sh

# on ubuntu: need some utils & dev libs
sudo apt-get install apache2-utils openssl libssl-dev libpcre3-dev

# compile nginx
cd /tmp
curl http://nginx.org/download/nginx-0.7.64.tar.gz | tar xz
cd nginx*
./configure --with-http_ssl_module --with-http_dav_module \

kljensen

# Make a new virtual env
# named ninjakitten
mkvirtualenv ninjakitten
cdvirtualenv

# Install readline binary
easy_install -a readline

# Install ipython
pip install -E . ipython

igrigorik

require 'rubygems'
require 'rack'

class Object
  def webapp
    class << self
       define_method :call do |env|
         func, *attrs = env['PATH_INFO'].split('/').reject(&:empty?)
         [200, {}, send(func, *attrs)]
       end

joshwand

ganked from unreadable scribd doc here: http://cleancoder.posterous.com/what-killed-waterfall-could-kill-agile

What Killed Waterfall could Kill Agile.

Robert C. Martin
20 Nov, 2010

In 1970 a software engineer named Dr. Winston W. Royce wrote a seminal paper entitled Managing the Development of Large Software Systems. This paper described the software process that Royce felt was appropriate for large-scale systems. As a designer for the Aerospace industry, he was uniquely qualified.

He began the paper by setting up a straw-man process to knock down. He described this naïve process as “grandiose”. He depicted it with a simple diagram on an early page of his paper. Then the paper methodically tears this “grandiose” process apart. In the end, Royce proposed a far more nuanced and insightful approach, leaving the reader to giggle at the silliness of the “grandiose” model.

mshuler

#!/bin/sh
# OpenStack bzr to github mirror
#
# Requirements:
#   git >= 1.7.0, bzr >= 2.0.0,
#   git-bzr-ng, python-fastimport, patched bzr-fastimport

#####
# Set up unpackaged source:
#   mkdir ~/src

millermedeiros

<?xml version="1.0" encoding="utf-8"?>
<project name="sample-require-js" default="" basedir=".">
    
    <!-- properties -->
    
    <property name="r.js" value="_build/rjs/r.js" />
    <property name="closure.jar" value="_build/closure/compiler.jar" />
    <property name="rhino.jar" value="_build/rhino/js.jar" />
    <property name="js.build" value="_build/js.build.js" />
    <property name="css.build" value="_build/css.build.js" />

superchink

# Usage: show <local-port> <subdomain>
function show() {
    DOMAIN=".webhostology.com"
    REMOTE="$2$DOMAIN"
    ssh -tR 8080:127.0.0.1:$1 vps "sudo ssh -Nl \$USER -L $REMOTE:80:127.0.0.1:8080 localhost"
}

ncode

#!/usr/bin/env python
from gevent import monkey 
monkey.patch_all()
import sys
import redis
import urllib2
import traceback
from cgi import escape

# -- gsdproxy 

fabianp

"""
Implementation of pairwise ranking using scikit-learn LinearSVC

Reference: 

    "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
    T. Graepel, K. Obermayer 1999

    "Learning to rank from medical imaging data." Pedregosa, Fabian, et al., 
    Machine Learning in Medical Imaging 2012.

agramfort

"""
Implementation of pairwise ranking using scikit-learn LinearSVC

Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
    T. Graepel, K. Obermayer.

Authors: Fabian Pedregosa <fabian@fseoane.net>
         Alexandre Gramfort <alexandre.gramfort@inria.fr>
"""