| agenda = UrlFetchApp.fetch("URL to pdf, in Dropbox").getBlob().setName("Agenda.pdf"), //agenda | |
| paper = UrlFetchApp.fetch("URL to pdf, in Dropbox").getBlob().setName("Discussion Paper.pdf"), // Paper | |
| logistics = UrlFetchApp.fetch("URL to pdf, in Dropbox").getBlob().setName("Logistics.pdf") //logistics | |
| for (var i = 0; i < data.length; ++i) { | |
| var row = data[i]; | |
| if ((row.attending9Am == CONFIRMED) || | |
| (row.attending9Lunch == CONFIRMED) || | |
| (row.attending9Pm == CONFIRMED) || |
| function PrepareMediaForms() { | |
| //create the personalized forms for everyone attending any session (aside reception) | |
| //saved on google docs. | |
| // For every person | |
| for (var i = 0; i < data.length; ++i) { | |
| var row = data[i]; | |
| if ((row.attending9Am == CONFIRMED) || | |
| (row.attending9Lunch == CONFIRMED) || |
| = SORT(FILTER('Master list'!S2:V,'Master list'!L2:L="Confirmed"),FILTER('Master list'!S2:S,'Master list'!L2:L="Confirmed"),TRUE) | |
| S2:V is the region with the Replies in the Master List with their names and comments | |
| T2:T is the column of the Session (e.g. Lunch) |
| for i in *; do mv "$i" "legacy-$i" ;done |
| #!/bin/bash | |
| cd _posts | |
| for file in $(ls *.md) | |
| do | |
| if grep -Fq "filename: " $file | |
| then | |
| # code if found | |
| echo "File: $file already processed" | |
| else | |
| # code if not found |
| import subprocess | |
| import sys, re | |
| MERC = '+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs' | |
| infile = sys.argv[1] | |
| info_output = subprocess.Popen(['gdalinfo', infile], stdout=subprocess.PIPE).communicate()[0] | |
| size_is_re = re.compile('Size is (?P<width>\d+), (?P<height>\d+)') | |
| size_is = filter(lambda x: x, map(lambda x: size_is_re.match(x), info_output.split('\n'))) |
| #This is my FIRST python code, so it's probably not very... pythonic | |
| #Comments welcomed!! | |
| #Import all runner info from the csv prepared with Google Refine | |
| import csv | |
| runner=[] | |
| f = open('MCM.csv''', 'rt') | |
| try: | |
| reader = csv.DictReader(f) | |
| for row in reader: |
layout: blog category: blog published: true title: "Mapas Dinámicos Rápidos con OpenStreetMap, MapBox.js y Google Spreadsheets" subtitle: "In time for Desarrollando América Latina: an example of quickly building a geo application with MapBox Streets, MapBox.js and Google Spreadsheets" permalink: /blog/aplicacion-mapas-rapido image: http://farm9.staticflickr.com/8210/8224404737_523aca1954_o.jpg tags:
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| background: #222; | |
| } | |
| </style> | |
| <body> |
