dbieber

from selenium import webdriver

driver = webdriver.Firefox()
driver.set_window_size(800, 600)
driver.set_window_position(0, 0)

driver.get("https://images.google.com")
searchbar = driver.find_elements_by_css_selector("#lst-ib")[0]
searchbar.send_keys("cute kittens")
searchbar.submit()

dbieber

def getInput():
    #return raw_input()
    return ask("Input", {
        "choices":"http://hosting.tropo.com/97257/www/grammar/zork_grammar.grxml",
        "timeout":60
    }).value

def speak(x):
    val = x.replace("<br />", " ").replace("<br>", " ")
    #print val

dbieber

// Blokus Life Lessons (http://david-bieber.tumblr.com/post/41975899830/blokus-life-lessons)
$(".blokus").click(function(e) {
    $(".blokus").each(function(index, el) {
        if (el.innerHTML == "Life") $(el).text("Blokus");
        else if (el.innerHTML == "life") $(el).text(" Blokus");
        else if (el.innerHTML == "Blokus") $(el).text("Life");
        else if (el.innerHTML == " Blokus") $(el).text("life");
    });
});

dbieber

import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys

driver = webdriver.Chrome()
driver.set_window_size(1024, 768) # optional

url1 = "https://registrar.princeton.edu/score/"
url2 = "https://puaccess.princeton.edu/psc/hsprod/EMPLOYEE/HRMS/c/SA_LEARNER_SERVICES.SSR_SSENRL_CART.GBL?Page=SSR_SSENRL_CART&Action=A&ACAD_CAREER=UGRD&EMPLID=960579807&ENRL_REQUEST_ID=&INSTITUTION=PRINU&STRM=1142"
driver.get(url1)

dbieber

EDITOR=vim
alias edit=$EDITOR
alias c="clear;pwd;ls"
alias rc=". ~/.bashrc"
alias eb="edit ~/.bashrc"
alias ..="cd .."
alias cd..="cd .."
alias ll="ls -al"

function k() {

dbieber

[dag]
name=Dag RPM Repository for Red Hat Enterprise Linux
baseurl=http://apt.sw.be/redhat/el$releasever/en/$basearch/dag
gpgcheck=1
enabled=1

dbieber

def get_probabilities(corpus, alpha="ABCDEFGHIJKLMNOPQRSTUVWXYZ"):
    corpus = ''.join([c for c in corpus if c in alpha])
    counts = [corpus.count(c) for c in alpha]
    start_probs = np.array(counts, dtype=float) / sum(counts)
    trans_counts = [[0.1 + corpus.count("%s%s" % (a,b)) for b in alpha] for a in alpha]
    trans_probs = np.array([np.array(x, dtype=float)/sum(x) for x in trans_counts])
    return (start_probs, trans_probs)

start_probs, trans_probs = get_probabilities("THISSHOULDBEAHUGESTRINGLIKETHISBUTHUNDREDSOFTIMESBIGGER")

dbieber

// Computer assisted snake!
// Paste this into the JS console at http://dskang.com/snake/ to play and win!

function getX() {
  var head = gSnake.getHead();
  var x = head.x / 20;
  return x;
}

function getY() {

dbieber

function getColumnIndexes(columns) {
  // Returns a map from column name to column index.
  var container = {};
  for (var i = 0; i < columns.length; i++) {
    var value = columns[i];
    container[value] = i;
  }
  return container;
}

dbieber

function onOpen() {
  var ui = SpreadsheetApp.getUi();
  ui.createMenu('Activity Log')
      .addItem('Archive Past Events', 'archivePastEvents')
      .addToUi();
}

function archivePastEvents() {
  var spreadsheet = SpreadsheetApp.getActiveSpreadsheet();
  var sheet = spreadsheet.getSheetByName("Activities");