schwanksta

def apdate_to_datetime(date):
    """
    Takes an AP-formatted date string and returns a Python datetime
    object. This will also work on any date formatted as either
    '%b. %d, %Y' or '%B %d, %Y'

    Examples:
        >>> apdate_to_datetime("Sept. 4, 1986")
        datetime.datetime(1986, 9, 4, 0, 0)
        >>> apdate_to_datetime("Sep. 4, 1986")

schwanksta

Smoke, mirrors and madlibs: How to break news while you sleep

Around 6:25 a.m. I was awakened by a jolt from slipping tectonic plates. The tremor didn't last very long, and as soon as my window stopped rattling my first thought was to check for an email.

Here it was:

L.A. Now: Ready for copyedit: Earthquake: 4.7 quake strikes near Westwood, California

This is a robopost from your friendly earthquake robot. Please copyedit & publish the

schwanksta

from django.db import models
from django.db.models import Q
from django.conf import settings
from django.utils.functional import cached_property
from django.contrib.postgres.fields import HStoreField, ArrayField
from datetime import date, datetime, time, timedelta
from foiaminder.schedule import SCHEDULES
from business_calendar import Calendar
import requests

schwanksta

Keybase proof

I hereby claim:

• I am schwanksta on github.
• I am schwanksta (https://keybase.io/schwanksta) on keybase.
• I have a public key ASBcdo7HTW0HfyikZ8M0_Adaaf4V4Yq8wnUqja3WkJEZkwo

To claim this, I am signing this object:

schwanksta

schwanksta

schwanksta

import multiprocessing
import subprocess
from glob import glob
import os

fields = ["field1", "field2", "field3"]

def work(fname):
    print "starting %s" % fname
    fname = os.path.abspath(fname)

schwanksta

<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.6.4/leaflet.css" />
<!--[if lte IE 8]>
    <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.6.4/leaflet.ie.css" />
<![endif]-->

<script src="http://cdn.leafletjs.com/leaflet-0.6.4/leaflet.js"></script>
<script type="text/javascript">
geojson = {"type":"FeatureCollection","features":[{"type":"Feature","id":651,"properties":{"GEOID10":"06037600304","CT10":"600304","LABEL":"6003.04","X_Center":6472482.0,"Y_Center":1798989.0,"Shape_area":4798305.86046,"Shape_len":9662.240288860000874,"PNTCNT":15.0,"SumLev":"140","AreaName":"CensusTract6003.04","State":"06","AreaLand":"445759","AreaWatr":"0","TotPop":"3424","Wht":"50","Blk":"1330","Asn":"7","Hisp":"1986","Oth":"51","NAMELSAD10":"CensusTract6003.04","per_capita":0.0043808411,"PopInt":3424},"geometry":{"type":"Polygon","coordinates":[[[-118.291637000512452,33.939880999892225],[-118.291639000350102,33.939056000142166],

schwanksta

import mechanize
from BeautifulSoup import BeautifulSoup

def parse_table(html):
    """
    Returns a list of lists. Each list is a row in the table.
    """
    soup = BeautifulSoup(html)
    # The 9th table down the page is the one with all the info.
    table = soup.findAll('table')[9]

schwanksta