wwright999

import quandl
import pandas as pd
from sqlalchemy import create_engine

# Link to list of symbols
https://www.quandl.com/data/SCF-Continuous-Futures/documentation/documentation

# Sign up at Quandl.com to get Auth Token 
token = 'your auth token from quandl.com'

wwright999

# Gist example of IB wrapper ...
#
# Download API from http://interactivebrokers.github.io/#
#
# Install python API code /IBJts/source/pythonclient $ python3 setup.py install
#
# Note: The test cases, and the documentation refer to a python package called IBApi,
#    but the actual package is called ibapi. Go figure.
#
# Get the latest version of the gateway:

wwright999

import random
import pandas
from sklearn.cross_validation import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.preprocessing import LabelEncoder
from sklearn.utils import check_array

import tensorflow as tf

wwright999

'''A python script to export the raw data from mailchimp lists and campaigns. 
The output of this script will be a CSV file with the open and click rates for each campaign 
and each list member (identified by an email.) You can use this data for further analysis 
as seen here:
http://www.silota.com/docs/recipes/sql-email-customer-list-segmentation-lead-scoring.html
Written by Ganesh, 2017. 
'''

import requests

wwright999

# Example from "Statistics is Easy" by Dennis Shasha and Manda Wilson
from statistics import mean
from random import shuffle

drug = [54, 73, 53, 70, 73, 68, 52, 65, 65]
placebo = [54, 51, 58, 44, 55, 52, 42, 47, 58, 46]
observed_diff = mean(drug) - mean(placebo)

n = 10000
count = 0

wwright999

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console