QuantVI

# This is a comment
# I typed this directly into http://gist.github.com
a = " ".join(["It's",'easy','to','use','to','share','code.'])
print(a)

QuantVI

class Student:
  def __init__(self,name,year):
    self.name= name
    self.year=year
    self.grades = []
    
  def __repr__(self):
    return "{nn} in year {yy}".format(nn=self.name,yy=self.year)
  
  def add_grade(self,grade):

QuantVI

# User class.
    # Tome Rater object contains Users
class User(object):
    def __init__(self, name, email):
        self.name = name
        self.email = str(email)
        self.books = {}

    def get_email(self):
        # print(self.email)

QuantVI

from TomeRater import *

Tome_Rater = TomeRater()

#Create some books:
book1 = Tome_Rater.create_book("Society of Mind", 12345678)
novel1 = Tome_Rater.create_novel("Alice In Wonderland", "Lewis Carroll", 12345)
#novel1.set_isbn(9781536831139)
nonfiction1 = Tome_Rater.create_non_fiction("Automate the Boring Stuff", "Python", "beginner", 1929452)
nonfiction2 = Tome_Rater.create_non_fiction("Computing Machinery and Intelligence", "AI", "advanced", 11111938)

QuantVI

class Menu:
  def __init__(self, name, items, start_time, end_time):
    self.name = name
    self.items = items
    self.start_time = start_time
    self.end_time = end_time
  
  def __repr__(self):
    sent = "{} Menu: served {} to {}"
    return sent.format(self.name,self.start_time,self.end_time)

QuantVI

# Data taken from
# https://archive.ics.uci.edu/ml/datasets/Tarvel+Review+Ratings
# there is an error in the dataset for User 2713
    #the row is shifted, and one value is mis-entered.
"""
Data Set Information:

This data set is populated by capturing user ratings from Google reviews.
Reviews on attractions from 24 categories across Europe are considered.
Google user rating ranges from 1 to 5 and average user rating

QuantVI

# -*- coding: utf-8 -*-
desc1 = ''' The scribe takes in JSON output from ElasticSearch results.
It then dynamically transforms the output into tabluar format,
writing the data straight to an Excel file using an applicable
Excel module.'''

# See report version 1 "scribe_report.py" for code comments on the core build
# verison 1 code now in excel_printer.py

import json

QuantVI

# -*- coding: utf-8 -*-
# import json
# import openpyxl

# This next section can be its own script if necessary
# begin dont_overwrite ----

ret_values = ['unknown','level_1','level_2','multi_s']

def detectStructure (jsondata):

QuantVI

{   "size": 0,
    "query": {
        "term": {"propertyId":"{{property_id}}"}
    },
    "aggs": {
        "email_recency": {
    		"date_histogram" : {
				"field": "checkinDate",
				"interval": "year",
                "format" : "yyyy-MM-dd"

QuantVI

{   "size": 0,
    "query": {
        "term": {"propertyId":"{{property_id}}"}
    },
    "aggs": {
        "reservation_over_time": {
    		"date_histogram" : {
				"field": "checkinDate",
				"interval": "year",
                "format" : "yyyy-MM-dd"