cbeddow

import mercantile, mapbox_vector_tile, requests, json
from vt2geojson.tools import vt_bytes_to_geojson

# define an empty geojson as output
output= { "type": "FeatureCollection", "features": [] }

# vector tile endpoints -- change this in the API request to reference the correct endpoint
tile_points = 'mly_map_feature_point'
tile_traffic_signs = 'mly_map_feature_traffic_sign'
tile_coverage = 'mly1_public'

rob-murray

2.1.5 :020 >   User
 => User(id: integer, name: string, email: string, created_at: datetime, updated_at: datetime) 
2.1.5 :021 > User.create(name: 'rob', email: 'orb@example.com')
   (0.1ms)  begin transaction
  SQL (1.0ms)  INSERT INTO "users" ("name", "email", "created_at", "updated_at") VALUES (?, ?, ?, ?)  [["name", "rob"], ["email", "orb@example.com"], ["created_at", "2015-01-09 08:50:31.962223"], ["updated_at", "2015-01-09 08:50:31.962223"]]
   (0.8ms)  commit transaction
 => #<User id: 2, name: "rob", email: "orb@example.com", created_at: "2015-01-09 08:50:31", updated_at: "2015-01-09 08:50:31"> 
2.1.5 :022 > User.first
  User Load (0.3ms)  SELECT  "users".* FROM "users"  ORDER BY "users"."id" ASC LIMIT 1
 => #<User id: 2, name: "rob", email: "orb@example.com", created_at: "2015-01-09 08:50:31", updated_at: "2015-01-09 08:50:31"> 

AndiH

Here are Python scripts to generate and analyze and print data of a bunch of pictures. I made them for our scout campsite, at which we generated 1700 pictures with five photographers in the summer of 2014.

You find a write-up in German here: http://static.andreasherten.de/2014/09/06/campsite-pictures.html

The scripts are a bit messy. I'm sorry for that.

Files

• picStats.py gathers information and saves them into a JSON file
• createPictureGraphs.py reads in this information, does some resorting and stuff, and uses pyplot (with prettyplotlib) to display them
• compareYears.py looks at three different JSON files of three different years and display some graph.

ajashton

#!/bin/bash
set -e -u

domain='http://geojson.io'
infile=''

if (uname | grep -q 'Darwin'); then
    open='open'
else
    open='xdg-open'

pmeenan

// Support routines for automatically reporting user timing for common analytics platforms
// Currently supports Google Analytics, Boomerang and SOASTA mPulse
// In the case of boomerang, you will need to map the event names you want reported
// to timer names (for mPulse these need to be custom0, custom1, etc) using a global variable:
// rumMapping = {'aft': 'custom0'};
(function() {
var wtt = function(n, t, b) {
  t = Math.round(t);
  if (t >= 0 && t < 3600000) {
    // Google Analytics

marians

CREATE TABLE `stations` (
  `id` varchar(9) COLLATE latin1_general_ci NOT NULL,
  `postalcode` varchar(5) COLLATE latin1_general_ci NOT NULL,
  `name` varchar(255) COLLATE latin1_general_ci NOT NULL,
  `longitude` decimal(5,2) NOT NULL,
  `latitude` decimal(5,2) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_ci COMMENT='BfS Sensor Stations';

CREATE TABLE `values_2h` (

gr2m

jQuery.fn.focus_select = function() {
	return this.each(function(){
	  var $this = jQuery(this);
		if ( $this.is('select') ) {
		  $this.focus()
		} else {
		  $this.select()
		}
	})
}

schacon

$ git branch -r --merged | 
  grep origin | 
  grep -v '>' | 
  grep -v master | 
  xargs -L1 | 
  awk '{split($0,a,"/"); print a[2]}' | 
  xargs git push origin --delete

marians

#!/usr/bin/perl

# This script concatenates and minifies a given set of CSS and JavaScript files
# so that only one JS and one CSS file are the result.
#
# In order to make it work for your project, configure the path settings and the
# file names both for input and output files.
#
# by Marian Steinbach <marian@sendung.de>