ryanpitts

'''
given a Model with:

   category    = models.CharField(max_length=32, choices=CATEGORY_CHOICES)
   pubdate     = models.DateTimeField(default=datetime.now)
   <other fields>

Fetch the item from each category with the latest pubdate.

''' 

ryanpitts

War On Christmas
Glow
Cambian
Somnambulance
Long March
Seperate But Equal
Peterson
Thompson
Twelve Days Awake
Everyone Gets Shot

ryanpitts

Five recurring, automatic patterns of thought (aka cognitive distortions) among people who get extraordinary stuff done in Silicon Valley.


1. Personal Exceptionalism: "I am special."

Definition: a macro sense that you are in the top of your cohort, your work is snowflake special, or that you are destined to have experiences well outside the bounds of "normal;" not to be confused with arrogance or high self-esteem

Benefit: resilience, stamina, charisma

Deadly risk: assuming macro exceptionalism means micro exceptionalism, brittleness

ryanpitts

/* 
 * Modified Lorem Ipsum Generator by Fredrik Bridell (http://bridell.com/loremipsum/)"
 *
 * To use: download the .js file, and in your html include the markup:
 * <script type="text/javascript" src="loremipsum.js"></script>
 *
 * Where you want the Lorem Ipsum, include something like:
 * <script type="text/javascript">loremIpsumParagraph(100)</script>
*/ 

ryanpitts

#!/bin/bash

# bash_prompt

# Example:
# nicolas@host: ~/.dotfiles on master[+!?$]
# $

# Screenshot: http://i.imgur.com/DSJ1G.png
# iTerm2 prefs: import Solarized theme (disable bright colors for bold text)

ryanpitts

# Sources:
# http://mcdc2.missouri.edu/pub/data/sf32000/Techdoc/ch4_summary_level_seq_chart.pdf
# http://www2.census.gov/acs2011_1yr/summaryfile/ACS_2011_SF_Tech_Doc.pdf
SUMMARY_LEVEL_DICT = {
    "010","United States",
    "020","Region",
    "030","Division",
    "040","State",
    "050","State-County",
    "060","State-County-County Subdivision",

ryanpitts

import requests
import bs4
import csv

URL = 'http://www.dllr.state.md.us/employment/warn.shtml'
warn_page = requests.get(URL)

soup = bs4.BeautifulSoup(warn_page.text, 'html.parser')
table = soup.find('table')
rows = table.find_all('tr')

ryanpitts

import csv
from collections import OrderedDict

CLEANED_DICT = OrderedDict()
METADATA_FIELDS = ['districtID','district','schoolID','school']
VALUE_FIELDS = []

with open('schools.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in reader:

ryanpitts

bible_objects = ['seed', 'gold', 'resin', 'onyx', 'fruit', 'fig leaves', 'fruit', 'vegetables', 'portion of meat', 'ark', 'olive leaf', 'burnt offerings', 'wine', 'bricks', 'silver', 'gold', 'tents', 'bread', 'wine', 'heifer carcass', 'goat carcass', 'ram carcass', 'brazier', 'torch', 'flour', 'curds', 'milk', 'veal', 'bread', 'one thousand silver shekels', 'food', 'skin of water', 'wood', 'knife', 'burnt offering', 'four hundred silver shekels', 'jar', 'gold nose ring', 'gold bracelets', 'straw', 'fodder', 'gold and silver jewellery', 'clothing', 'bread', 'lentil stew', 'quiver', 'bow', 'clothes', 'goatskins', 'bread', 'food', 'wine', 'stone', 'oil', 'mandrake plants', 'poplar branches', 'almond branches', 'watering troughs', 'tent', 'gods', 'saddle', 'stone', 'stones', 'food', 'one hundred pieces of silver', 'tent', 'altar', 'idols', 'earring', 'stone', 'oil', 'ornamented robe', 'food', 'spices', 'balm', 'myrrh', 'twenty shekels', 'clothes', 'goat carcass', 'sackcloth', 'clothes', 'veil', 'seal', 'cord', 's

ryanpitts

    // hit the /parents API endpoint
    $.getJSON(parentGeoAPI)
        .done(function(results) {
            var parents = results['parents'];
            // list of unique parent sumlev types, maintaining order
            var parentRelations = _.uniq(_.pluck(parents, 'sumlevel'));
            // collect parents into individual sumlev groups
            var parentGroups = _.groupBy(parents, function(d) {
                return d.sumlevel;
            });