jmduke

# -*- coding: utf-8 -*-

import re

from scrapy.item import Item, Field
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector

from lxml.cssselect import css_to_xpath

jmduke

This line chart is constructed from a TSV file storing the daily average temperatures of New York, San Francisco and Austin over the last year. The chart employs conventional margins and a number of D3 features:

• d3.tsv - load and parse data
• d3.time.format - parse dates
• d3.time.scale - x-position encoding
• d3.scale.linear - y-position encoding
• d3.scale.category10, a d3.scale.ordinal - color encoding
• d3.extent, d3.min and d3.max - compute domains
• [d3.k

jmduke

GENERATED_FILES = \
	unemployment.tsv

.PHONY: all clean

all: $(GENERATED_FILES)

clean:
	rm -rf -- $(GENERATED_FILES)

jmduke

from Queue import Queue
from threading import Thread, active_count
import pytumblr
import sys
import time
import logging

client = pytumblr.TumblrRestClient(
  'FILLINYOUROWNDAMNVALUES',
  'FILLINYOUROWNDAMNVALUES',

jmduke

$ pagoda .
/Library/Ruby/Site/1.8/rubygems/core_ext/kernel_require.rb:45:in `gem_original_require': /Library/Ruby/Gems/1.8/gems/pagoda-jekyll-0.0.9/bin/../lib/pagoda/app.rb:39: syntax error, unexpected tIDENTIFIER, expecting tAMPER (SyntaxError)
...source, *%w[_posts], post_file)
                              ^
/Library/Ruby/Gems/1.8/gems/pagoda-jekyll-0.0.9/bin/../lib/pagoda/app.rb:146: syntax error, unexpected tIDENTIFIER, expecting tAMPER
      repo.add File.join(jekyll_site.source, *%w[_posts], filename)
                                                                  ^
  from /Library/Ruby/Site/1.8/rubygems/core_ext/kernel_require.rb:45:in `require'
	from /Library/Ruby/Gems/1.8/gems/pagoda-jekyll-0.0.9/bin/pagoda:20
	from /usr/bin/pagoda:23:in `load'

jmduke

import matplotlib.pyplot as plt
from datetime import datetime, timedelta
import numpy as np
from math import log
import tweepy
import collections
import bisect

DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
INTERVAL = timedelta(hours = 1)

jmduke

import requests
import operator

companies = ["hubspot"]
api_url = "https://api.github.com/orgs/{}/repos"
data = {}

for company in companies:
	data[company] = {'forks': 0, 'stars': 0, 'repos': 0, 'languages': {}}
	r = requests.get(api_url.format(company))

jmduke

<!DOCTYPE html>
<head>
   <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7/leaflet.css" />
   <link rel="stylesheet" href="http://leaflet.github.io/Leaflet.markercluster/dist/MarkerCluster.Default.css" />
   <script src="http://cdn.leafletjs.com/leaflet-0.7/leaflet.js"></script>
   <script src="http://leaflet.github.io/Leaflet.markercluster/dist/leaflet.markercluster-src.js" type='text/javascript'></script>
   <script src="http://briangonzalez.github.io/jquery.adaptive-backgrounds.js/js/jquery.js"></script>
   
<style>

jmduke

import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import vincent

# source: http://www.pro-football-reference.com/boxscores/game_scores.cgi
SOURCE_FILE = "./nflscores.csv"

data = pd.read_csv(SOURCE_FILE, header=0)

jmduke

import nltk
import vincent
from curses.ascii import isdigit
from nltk.corpus import cmudict
import nltk.data
import sys

authors = ['kerouac', 'joyce', 'hemingway', 'milton', 'dickens', 'fitzgerald', 'nabokov', 'vonnegut']
d = cmudict.dict()