mattdennewitz

# models.py:
# ----------

from django.contrib.gis.db import models as geomodels

class Place(geomodels.Model):
    woe_id = geomodels.IntegerField() 
    place_id = geomodels.CharField(max_length=255)
    place_type = geomodels.CharField(max_length=255)
    place_type_id = geomodels.IntegerField()

mattdennewitz

# -*- coding: utf8 -*-

"""
Download and import US census data from 
`http://www.census.gov/geo/www/cob/z52000.html`

    # shapefile mapping:
    zipcode_mapping = {
        'area' : 'AREA',
        'perimeter' : 'PERIMETER',

mattdennewitz

from django.contrib.gis.db import models as geomodels
 
class Place(geomodels.Model):
    woe_id = geomodels.IntegerField() 
    place_id = geomodels.CharField(max_length=255)
    place_type = geomodels.CharField(max_length=255)
    place_type_id = geomodels.IntegerField()
    label = geomodels.CharField(max_length=255)
    created = geomodels.DateTimeField()
    geometry = geomodels.PolygonField(srid=4326)

mattdennewitz

import sys
from math import log, sqrt

def pnormaldist(qn):
    b = [1.570796288, 0.03706987906, -0.8364353589e-3,
         -0.2250947176e-3, 0.6841218299e-5, 0.5824238515e-5,
         -0.104527497e-5, 0.8360937017e-7, -0.3231081277e-8,
         0.3657763036e-10, 0.6936233982e-12]

    if qn < 0.0 or 1.0 < qn:

mattdennewitz

# quick & dirty example

def get_placemark_point(raw_location):
    """Attempt to resolve ``raw_location`` using Google's geocoder.
    Returns a tuple with the canonical address and GEOS point
 
    """
    import cjson
    from urllib import urlencode
    from urllib2 import urlopen

mattdennewitz

def test_map_reduce_finalize(self):
    """Ensure finalize is running by simulating "hotness" 
    ranking with Reddit algorithm.
    """
    from time import mktime

    class Link(Document):
        title = StringField()
        up_votes = IntField()
        down_votes = IntField()

mattdennewitz

Runs/Replacement

Use 20 runs per 600 pa as baseline and scale from there, eg, 23.3 runs per 700 pa.

FIP

(13*hr+3*bb-2*k)/ip

mattdennewitz

curl -w '\nLookup time:\t%{time_namelookup}\nConnect time:\t%{time_connect}\nPreXfer time:\t%{time_pretransfer}\nStartXfer time:\t%{time_starttransfer}\n\nTotal time:\t%{time_total}\n' -o /dev/null -s http://www.domain.com/

mattdennewitz

#!/usr/bin/env python

"""
corrupt
usage: ./corrupt.py --source=input.jpg [--output=corrupted.jpg] [--iterations=10]

originally: http://www.recyclism.com/corrupt.php
ported: @mattdennewitz
"""

mattdennewitz

from boto.s3.connection import S3Connection


file_to_upload = "e434b232c2e4f70aa2819d708dfd30fb4cebcf6c.zip"

s3 = S3Connection(YOUR_AWS_ACCESS_KEY, YOUR_AWS_SECRET_KEY)
bucket = s3.get_bucket(YOUR_BUCKET_NAME)

# user will receive "mixtape.zip" instead of "e434b232c2e4f70aa2819d708dfd30fb4cebcf6c.zip"
s3_headers = {'Content-Disposition': "attachment; filename=mixtape.zip"}