DenisCarriere

import geocoder
g = geocoder.google('Ottawa, Ontario')
g.latlng
[45.4215296, -75.6971930999]

DenisCarriere

# -*- coding: utf-8 -*-
from datetime import timedelta
from flask import make_response, request, current_app, Flask, jsonify
from functools import update_wrapper


def crossdomain(origin=None, methods=None, headers=None,
                max_age=21600, attach_to_all=True,
                automatic_options=True):

DenisCarriere

import geo

toporama = geo.toporama('Ottawa')
toporama.download()


# Default toporama would be 50K
# geo.toporama(<location>, scale='250K')
# Default location for download would be root of the python script
# toporama.download('download here/')

DenisCarriere

>>> import pydie

>>> pydie.roll('3d1')
3

DenisCarriere

import re

# Input
string = '3d6+2'

# Regex Pattern
pattern = re.compile(r'(?P<multiplier>\d+)d(?P<die>\d+)m?(?P<math>\D)?(?P<modifier>\d+)?')
match = pattern.match(string)

# Attributes

DenisCarriere

import geocoder

places = geocoder.places('Kabul, Afghanistan', keyword='Embassy')

for place in places:
    print place.json
    print place.latlng

DenisCarriere

import coordinate

# MGRS to LatLng
c = coordinate.get('41R QQ 123 123')
print c.latlng

# LatLng to MGRS
c = coordinate.get('41.123, -78.123')
print c.mgrs

DenisCarriere

import csv

with open(join('us-data', 'codes.txt')) as f:
    rows = list(csv.DictReader(f, dialect='excel-tab'))
    codes = dict([(row['Postal Code'].lower(), row['State']) for row in rows])

DenisCarriere

<osm-script output="json" timeout="25">
  <!-- gather results -->
  <union>
    <query type="way">
      <has-kv k="addr:housenumber"/>
      <user name="DenisCarriere"/>
      <has-kv k="source" v="survey"/>
    </query>
  </union>
  <!-- print results -->

DenisCarriere

# To Install:
# $ pip install geocoder

>>> import geocoder
>>> g = geocoder.opencage("New York City", key="YOUR API KEY")
>>> g.latlng
[40.7305991, -73.9865812]
>>> g.json
{"status": "OK", "locality": "New York City", ...}