chrisalbon

{
 "metadata": {
  "name": "",
  "signature": "sha256:c3353bdfe380793a0b7eb927af7533bc567dd752cb852517d89eac65a196723b"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

chrisalbon

{
 "metadata": {
  "name": "",
  "signature": "sha256:63da596dd1a5eb6dfdf934f5552fb0616c2fd21bf522ac0cafe519eda3351981"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

chrisalbon

{
  "total": 46830,
  "data": [
    {
      "remoteID": "44268-1248",
      "tags": [
        {
          "confidence": 1,
          "name": "Furniture"
        }

chrisalbon

import numpy as np

x = ['Family Practice', 'Internal Medicine', 'Family Practice', 'Family Practice']
y = [0,0,0,1]
score = 0

def hardcoded_rules(x,y,score):
    if len(x) < 3 and max(y) < 3:
        score = -1
    elif np.unique(y)[0] == 1:

chrisalbon

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Testing Popily Embeds In Project Jupyter"
   ]
  },
  {

chrisalbon

{'Alabama': 4849377,
  'Alaska': 736732,
  'Arizona': 6731484,
  'Arkansas': 2966369,
  'California': 38802500,
  'Colorado': 5355866,
  'Connecticut': 3596677,
  'Delaware': 935614,
  'District of Columbia': 658893,
  'Florida': 19893297,

chrisalbon

# Brute Force D20 Roll Simulator

# Import random module
import random

# Create a variable with a TRUE value
rolling = True

# while rolling is true
while rolling:

chrisalbon

import pandas as pd

index = pd.date_range('1/1/2000', periods=20000, freq='30min')
series = pd.Series(range(20000), index=index)

series.groupby(series.index.hour).sum()

chrisalbon

### Keybase proof

I hereby claim:

  * I am chrisalbon on github.
  * I am chrisalbon (https://keybase.io/chrisalbon) on keybase.
  * I have a public key ASBI8zFqR11PMiDce5FTxa7M57P8WLTxMkdLD-tt72qjjAo

To claim this, I am signing this object:

chrisalbon

# coding: utf-8

# # Map Your Google Location History
# 
# ## Step 1: Download your Google Location History
# 
# Google makes this process very easy. Go here to [download your location history data](https://www.google.com/settings/takeout) and unzip it.

# ## Step 2: Run this script