thinrhino

import pandas
df = pandas.read_csv('offers.csv.gz', compression='gzip')
categories = df.category.tolist()

subset = open('subset.csv', 'w')
fl = open('transactions.csv', 'r')
fl.readline()
while True:
    l = fl.readline()
    if l == '':

thinrhino

"""
Code to download and upload raw data from mix-panel
"""

import hashlib
import datetime
import time
import tempfile
import os
import bz2

thinrhino

# Script to populate data into MongoDB

import twitter
import time
import logging

from pymongo import MongoClient

CONSUMER_KEY = '<twitter_consumer_key>'
CONSUMER_SECRET = '<twitter_secret_key>'

thinrhino

from mandrill import Mandrill
import base64
mail_client = Mandrill('<api_key>')

frm_email = 'email@email.com'
frm_name = 'Given Name'

# Sending image as attachment
img_attachment = base64.b64encode(open('~/sample_image.jpg', 'rb').read())

thinrhino

from collections import defaultdict
import matplotlib.pyplot as plt

data = open('<data_file>', 'r')
r_data = []

# reading relevant data
while True:
    l = data.readline()
    if l == '':

thinrhino

# ref: http://www.tfidf.com/
# Example:
# Consider a document containing 100 words wherein the word cat appears 3 times.
# The term frequency (i.e., tf) for cat is then (3 / 100) = 0.03. Now, assume we
# have 10 million documents and the word cat appears in one thousand of these.
# Then, the inverse document frequency (i.e., idf) is calculated as log(10,000,000 / 1,000) = 4. 
# Thus, the Tf-idf weight is the product of these quantities: 0.03 * 4 = 0.12.
# 
# Hence:
# 1. Calculate term frequency

thinrhino

#!/bin/sh

# Change these settings to match what you are wanting to do
FILE=/File/To/Copy
SERVER=localhost
PATH=/Where/To/Put/File

OPTIONS=`vagrant ssh-config | awk -v ORS=' ' '{print "-o " $1 "=" $2}'`

scp ${OPTIONS} $FILE vagrant@$SERVER:$PATH

thinrhino

$(document).ready(function() {
    $(chart_id).highcharts({
        chart: chart,
        title: title,
        xAxis: xAxis,
        yAxis: yAxis,
        series: series
    });
});

thinrhino

#!/usr/bin/env python -i
"""
A local interactive IPython shell for Google App Engine on Mac OSX.

Usage:
    cd /to/project/folder/with/app.yaml
    python gae_shell.py

Notes:

thinrhino

;; Enable mouse support
(unless window-system
  (require 'mouse)
  (xterm-mouse-mode t)
  (global-set-key [mouse-4] '(lambda ()
                              (interactive)
                              (scroll-down 1)))
  (global-set-key [mouse-5] '(lambda ()
                              (interactive)
                              (scroll-up 1)))