tmcw

import requests, os, glob, json, sys, webbrowser

you = 'self'
data = 'checkins'

try: os.mkdir(data)
except Exception: pass

cid = 'YOUR_CLIENT_ID'

tmcw

import glob, json

# this script loves this script
# https://gist.github.com/3350235

points = []
vids = set()
places = glob.glob("checkins/*.json")

for p in places:

migurski

from json import load, JSONEncoder
from optparse import OptionParser
from re import compile

float_pat = compile(r'^-?\d+\.\d+(e-?\d+)?$')
charfloat_pat = compile(r'^[\[,\,]-?\d+\.\d+(e-?\d+)?$')

parser = OptionParser(usage="""%prog [options]

Group multiple GeoJSON files into one output file.

tmcw

As an ex-University lecturer I could do this in class and students would enter the workforce able to make their analysis look good on a map and communicate properly… What about those who can't be bothered reading a few pages from a book or a web site that shows them some useful tips?

You understand the academic mindset, not the hacking mindset. Academics go like this:

lectures -> books -> grades -> make a good map

Hacking goes like this:

make a map -> websites -> make a better map -> make a good map

andrewharvey

#!/bin/sh

# To the extent possible under law, the person who associated CC0
# with this work has waived all copyright and related or neighboring
# rights to this work.
# http://creativecommons.org/publicdomain/zero/1.0/

if [ `which logrotatecat` ] ; then
  # yes we found the binary
  logrotatecat access.log | \ # a log-rotate aware method to cat access logs together

iwek

//return an array of objects according to key, value, or key and value matching
function getObjects(obj, key, val) {
    var objects = [];
    for (var i in obj) {
        if (!obj.hasOwnProperty(i)) continue;
        if (typeof obj[i] == 'object') {
            objects = objects.concat(getObjects(obj[i], key, val));    
        } else 
        //if key matches and value matches or if key matches and value is not passed (eliminating the case where key matches but passed value does not)
        if (i == key && obj[i] == val || i == key && val == '') { //

tmcw

Why Shapely Instead of PostGIS

For small and medium datasets, I'd rather do things in Shapely than PostGIS.

• Programming in SQL is weird and orphans code from my existing knowledge about portability, optimization, and so on.
• Python scripts strike me as more reusable than SQL queries; they can make more contained assumptions about your data layout, they can be easily run as 'scripts' rather than sets of commands.
• Installing and understanding PostGIS gives me the ragefits. Stuff designed for big complicated data does not scale well down to the silly hacks I do.
• I/we do not have PostGIS running in production. What I do either ends up in GeoJSON in vectors or rendered by TileMill, and once it goes through TileMill, it's the same if I use something complicated or something simple.
• Using Shapely lets you easily pull in other libraries to do other kinds of stuff. Like this delaunay map uses scipy for triangulation and Shapely/Fiona for making those thing

emacgillavry

#!/bin/bash

#------------------------------------------------------------
# We assume the dump files have been generated using pg_dump:
#
# pg_dump -a --column-inserts -x -O -t table_name database_name -f /tmp/dmp_file_name
#
#------------------------------------------------------------

# Provide details of your CartoDB account:

frewsxcv

import lxml.html


def get_incidents():
    incidents = []
    url = "http://slonews.thetribunenews.com/police_log/slo_log.php"
    tree = lxml.html.parse(url)
    for inc in tree.xpath("//table[@class='report']"):
        inc_keys = inc.xpath("tr/td[@class='c1']")
        inc_keys = [key.text_content() for key in inc_keys]

oeon

for f in *.shp;

do

name=${f%.shp}

/Users/you/gdal_trunk/bin/ogrinfo $f -sql "ALTER TABLE $name ADD COLUMN filename character(21)"
/Users/you/gdal_trunk/bin/ogrinfo $f -dialect SQLite -sql "UPDATE $name SET filename = '$f'"
done;