listepo

#!/bin/bash
cd ./node_modules/ember-cli-esnext/node_modules/broccoli-esnext/node_modules/esnext
npm install 'git+https://github.com/facebook/regenerator.git#45829598be68fa4cb10f86b5ca13aa7284aa6bc8'

ingenieroariel

# easy_install boto 
# You will also need:
# - A .pem keyfile generated using the Amazon web interface to create new instances
# - The secret and access keys created from the 
# The only pre-reqs are having created a keypair (.pem file) 
# via the amazon web interface and knowing the AWS key and secret
#
# Usage:
#     export AWS_ACCESS_KEY_ID='blahblah'
#     export AWS_SECRET_ACCESS_KEY='blebleble'

max-mapper

{
	category : "category_name", // Required Single category from (http://opencivicdata.com/#categories-wg)
	meta : { // Optional: Simple Dublin Core Metadata Element Set
		title : "",
		creator : "",
		subject : "",
		description : "",
		publisher : "",
		contributor : "",
		date : "",

springmeyer

$ node
> require('mapnik').fonts()
[ 'DejaVu Sans Bold',
  'DejaVu Sans Bold Oblique',
  'DejaVu Sans Book',
  'DejaVu Sans Condensed',
  'DejaVu Sans Condensed Bold',
  'DejaVu Sans Condensed Bold Oblique',
  'DejaVu Sans Condensed Oblique',
  'DejaVu Sans ExtraLight',

mbertrand

server {
  listen       80;
	server_name  mydomain.edu localhost;

	location /static  {
		alias /www/geonode/src/GeoNodePy/geonode/static_root;
	}


	#GEOSERVER

bmount

sudo mkdir -p /Library/Frameworks/GDAL.framework/Versions/1.9/
sudo ln -s /usr/local/lib/libgdal.dylib /Library/Frameworks/GDAL.framework/Versions/1.9/GDAL
sudo mkdir -p /Library/Frameworks/PROJ.framework/Versions/4/
sudo ln -s /usr/local/Cellar/proj/4.8.0/lib/libproj.dylib /Library/Frameworks/PROJ.framework/Versions/4/PROJ
# did not work: sudo ln -s `pwd`/libgeos.dylib /Library/Frameworks/GEOS.framework/Versions/3/GEOS
# did work:
# $PWD is /usr/local/Cellar/geos/3.3.6/lib
sudo ln -s `pwd`/libgeos_c.1.dylib /Library/Frameworks/GEOS.framework/Versions/3/GEOS
sudo mkdir -p /Library/Frameworks/SQLite3.framework/Versions/3/
sudo ln -s /usr/local/Cellar/sqlite/3.7.15/lib/libsqlite3.0.8.6.dylib /Library/Frameworks/SQLite3.framework/Versions/3/SQLite3

wycats

App.Router.map(function() {
  this.resource('post', { path: '/posts/:post_id' });
});

App.PostRoute = Ember.Route.extend({
  model: function(params) {
    return this.store.find('post', params.post_id);
  }
});

boazsender

{
  category : "", // Required Single category from (http://opencivicdata.com/#categories-wg)
  properties : {} // Required Common bin for domain specific properties from from (http://opencivicdata.com/#properties-wg)
  start : "", // Optional RFC3339DateTime optional start date
  end : "", // Optional RFC3339DateTime optional end date
  geometry : {} // Optional Geojson location feature (http://geojson.org/geojson-spec.html)
}

max-mapper

simple 4mb buffer proxy benchmarks

the goal: to do fast virtual host routing, e.g. to have a single process on a machine listening on port 80 and proxying data based on HTTP Host to other non-port-80 web processes on the same machine

many people use nginx for this because nginx is faster than node is currently for data-heavy applications (see below)

about these benchmarks

they use the JS proxies from https://github.com/substack/bouncy/tree/master/bench

cspanring

class Python < Formula
  desc "Interpreted, interactive, object-oriented programming language"
  homepage "https://www.python.org"
  head "https://hg.python.org/cpython", :using => :hg, :branch => "2.7"
  url "https://www.python.org/ftp/python/2.7.10/Python-2.7.10.tgz"
  sha256 "eda8ce6eec03e74991abb5384170e7c65fcd7522e409b8e83d7e6372add0f12a"
  revision 2

  bottle do
    revision 3