paul-english

import Levenshtein as levenshtein
import numpy as np

def dist(coord):
    i, j = coord
    return levenshtein.distance(strings_list[i], strings_list[j])

coords = np.triu_indices(len(strings_list), 1)

zipped_coords = zip(*coords)

paul-english

#!/bin/bash

# Clones a repo into an organized directory structure at your $CODEPATH.
# This organization is similar to how "go get" will organize your code into
# $GOPATH/<site>/../../<repo>

set -e

trap "echo ERRORS DETECTED" err

paul-english

#!/bin/bash

# Finds and converts git repositories in or under the working directory to
# reference GitHub Enterprise (code.redbrainlabs.com).

set -e

trap "echo ERRORS DETECTED" ERR

IFS="`printf '\n\t'`"

paul-english

using Images
using Match

function sample_S(n, iters=1000)
    S = zeros(Int32, n)
    for step = 1:iters
        i = rand(1:n)
        @match (i,S[i]) begin
            (1,0),if S[i+1]==0 end              => S[i]=1
            (1,0),if S[i+1]==1 end              => continue

paul-english

install.packages('car')

df <- read.csv("~/data.csv")

plot(df)

# Model 1
model1.y <- df$inf
model1.X <- df$unem

paul-english

import xml.etree.ElementTree as ET
@shared_task
def test_et():
    print('test_et')
    fpath = '<xml-file>'
    t = ET.parse(fpath)
    print('--- t', t)

paul-english

-- Exercise 1

invalidInt :: MaybeInt -> Bool
invalidInt (ValidInt _) = False
invalidInt InvalidInt = True

maybeIntValue :: MaybeInt -> Int
maybeIntValue (ValidInt val) = val
maybeIntValue  InvalidInt = 0

paul-english

-- Exercise 1

formableBy :: String -> Hand -> Bool
formableBy [] _ = True
formableBy [letter] hand = letter `elem` hand
formableBy (letter:letters) hand
  | letter `elem` hand = formableBy letters (delete letter hand)
  | otherwise = False

paul-english

-- Exercise 1

lastDigit :: Integer -> Integer
lastDigit x = mod x 10

dropLastDigit :: Integer -> Integer
dropLastDigit x = div x 10

-- Exercise 2

paul-english

➜  data git:(master) ✗ cat b12.dat | java vehicle | java -jar ../target/satellite.jar
3 12122.917273542467 2.60523431377833E7 2986153.9652811266 4264669.833341302
4 12122.918115953327 -1.7183556330883846E7 -1.8640834276143264E7 7941901.319790134
8 12122.915172212155 1.849827925650694E7 -1.417239006512881E7 -1.2758766854626015E7
11 12122.929474066532 -2903225.428341161 -1.966135853793516E7 1.7630410370027628E7
14 12122.930816872351 1477645.0131373822 -1.521487230845357E7 2.1729089560153764E7
15 12122.915592052117 2.652632365288924E7 847508.5773716164 -1210367.6854701233
17 12122.932126745905 4939777.113827618 -1.7965663283148237E7 1.8938390959181942E7
20 12122.930290188273 1.7903461115956523E7 -1.680512822045815E7 1.0143118496003771E7
3 12123.917274955005 2.6051583575288303E7 2988333.2598301014 4267782.188507524