TheDataLeek

TheDataLeek

#!/usr/bin/env python2

import numpy as np

import matplotlib.pyplot as plt
import matplotlib.patches as ptch
import matplotlib.lines as lne
import matplotlib.animation as ani

TheDataLeek

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

TheDataLeek

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

TheDataLeek

#!/usr/bin/env python3.6

import sys
import time
import random
import multiprocessing as mp
from multiprocessing import Queue
from tqdm import tqdm

import numpy as np

TheDataLeek

#!/usr/bin/env python3.6

import time
import math
import numpy as np
import random

def distance(coord1, coord2):
    return math.sqrt(sum((coord1[i] - coord2[i])**2
                         for i in range(len(coord1))))

TheDataLeek

#!/usr/bin/env python3.6

"""
Simulated Annealing and Genetic Algorithm solutions to districting problem.

Notes on implementation:
    * I like properties and I use them in a couple spots...
    * Use `pip install --user -r requirements.txt` on the requirements file
    available in the root of this git repository.
    * If by some strange happenstance you only have this file, go to the

TheDataLeek

#!/usr/bin/env python3

import sys
import os
import argparse

import re
from pprint import pprint as pp
import pytz
import dateutil