ajschumacher

# oh my quiz

What the what?
: Option!
: Correct option! :

ajschumacher

longest.ordered <- function(original) {
  results <- list()
  for (item in original) {
    static_results <- results
    for (stem in static_results) {
      if (stem[length(stem)] <= item) {
        results[[length(results)+1]] <- c(stem, item)
      }
    }
    results[[length(results)+1]] <- item

ajschumacher

par(pty='s')
par(mfrow=c(1, 2))

ci_lower_bound <- function(pos, n, confidence) {
  if (n == 0) return(0)
  z = qnorm(1 - (1 - confidence) / 2)
  p = pos / n
  (p + z^2 / (2*n) - z * sqrt((p * (1-p) + z^2 / (4*n)) / n )) /
    (1 + z^2 / n)

ajschumacher

#!/bin/bash

# Start an AWS instance with one of the AMIs provided by:
#  http://www.louisaslett.com/RStudio_AMI/
#
# Get this script and make executable.
#  wget THE_RAW_URL
#  chmod +x build_logins.sh
#
# Then use this script to create many logins on the system.

ajschumacher

Here is text with an email link.

Here is an email in text (someone@somewhere.org).

What about second-line email links?

ajschumacher

• thing

ajschumacher

def _find_getch():
    # courtesy of Louis
    # http://stackoverflow.com/questions/510357/
    try:
        import termios
    except ImportError:
        # Non-POSIX. Return msvcrt's (Windows') getch.
        import msvcrt
        return msvcrt.getch

ajschumacher

This is Bostock's interactive Reingold-Tilford Tree with data representing the rules of a simple sklearn decision tree. Click on nodes to expand or collapse.

For more, see the complete write-up.

ajschumacher

import tensorflow as tf

w = tf.Variable([2.0])
b = tf.Variable([2.0])
x = tf.constant([1.0])
y = tf.sigmoid(w*x + b)
y_ = tf.constant([0.0])
cross_entropy = -1*(y_*tf.log(y) + (1-y_)*(tf.log(1-y)))
s = tf.Session()
s.run(tf.initialize_all_variables())

ajschumacher

import time

import pygame
import gym


frame_time = 1.0 / 15  # seconds


pygame.init()