amontalenti

import os
import requests
from BeautifulSoup import BeautifulSoup
from urlparse import urlparse

sitemap_xml = "http://www.cnn.com/sitemaps/sitemap-specials-2013-11.xml"

sitemap_response = requests.get(sitemap_xml)
soup = BeautifulSoup(sitemap_response.content)

amontalenti

var data = [1, 2, 3, 4, 5];

var width = 200;
var height = 200;

var x = d3.scale
            .ordinal()
            .domain(data)
            .rangeBands([0, width]);
var y = d3.scale

amontalenti

Latency Comparison Numbers                      Time     Light Distance    Approximate Light Distance
--------------------------                      ----     --------------    --------------------------
L1 cache reference                            0.5 ns             0.15 m    Diagonal across your smartphone
Branch mispredict                             5   ns             1.5  m    Height of Natalie Portman
L2 cache reference                            7   ns             2.1  m    Height of Shaq   
Mutex lock/unlock                            25   ns             7.5  m    Height of a school flag pole
Main memory reference                       100   ns            30    m    Half a Manhattan city block (North/South)
Compress 1K bytes with Zippy              3,000   ns           900    m    Width of Central Park
Send 1K bytes over 1 Gbps network        10,000   ns         3,000    m    Width of Manhattan
Read 4K randomly from SSD*              150,000   ns        45,000    m    NYC to Hempstead on Long Island

amontalenti

>>> from nltk import word_tokenize
>>> from nltk.collocations import BigramCollocationFinder
>>> text = "obama says that obama says that the war is happening"
>>> finder = BigramCollocationFinder.from_words(word_tokenize(text))
>>> finder.items()[0:5]
[(('obama', 'says'), 2),
 (('says', 'that'), 2),
 (('is', 'happening'), 1),
 (('that', 'obama'), 1),
 (('that', 'the'), 1)]

amontalenti

import java.util.List;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.util.HashMap;

public class JavaMapsAndLists {
  public static void main(String [] args) {
    List<Integer> someItems = Arrays.asList(new Integer[] {1, 2, 3, 4});
    for (Integer item : someItems) {

amontalenti

def main():
  some_items = [1, 2, 3, 4]
  for item in some_items:
      print item
  some_mapping = {"ST": "started", "IP": "in progress", "DN": "done"}
  for key, val in some_mapping.iteritems():
      print key, "=>", val

if __name__ == "__main__":
  main()

amontalenti

(ns cljtests.data)

(defn main []
  (let [some-items [1 2 3 4]
        some-mapping {:ST "started", :IP "in progress", :DN "done"}]
      (doseq [item some-items]
        (println item))
      (doseq [[key val] some-mapping]
        (println (str key " => " val)))))

amontalenti

package org.pixelmonkey.groovytests;

someItems = [1, 2, 3, 4]
someItems.each {
  println it
}
someMapping = ["ST": "started", "IP": "in progress", "DN": "done"]
someMapping.each { key, val ->
  println "${key} => ${val}"
}

amontalenti

(use 'clojure.java.io)
(use '[clojure.string :only (split)])
(require '[clojure.data.json :as json])

(defn read-tweets []
  ;; this opens a file
  (with-open [rdr (reader "data/tweets.log")]
    ;; this returns a lazy-seq, which is bad since file is opened first?
    ;; results in IOException Stream closed
    (for [line (line-seq rdr)]

amontalenti

$ lein repl
nREPL server started on port 59905 on host 127.0.0.1
REPL-y 0.3.0
Clojure 1.5.1
    Docs: (doc function-name-here)
          (find-doc "part-of-name-here")
  Source: (source function-name-here)
 Javadoc: (javadoc java-object-or-class-here)
    Exit: Control+D or (exit) or (quit)
 Results: Stored in vars *1, *2, *3, an exception in *e