#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Portfolio optimization using metaheuristics

# variables= {}
# execfile( "console.py")

# python -i console.py

__author__="Martin Haviar"
__date__ ="$18 Mar 2013 10:40:30 PM$"

import numpy as np
import pandas as pd
import pandas.io.data as web
import matplotlib.pyplot as plt
import timeit
from pandas.io.pytables import HDFStore
from datetime import datetime

from Data import Data
from Portfolio import Portfolio
from Selector import Selector

from scipy import stats
# import seaborn as sns

# sns.set_palette("deep", desat=.6)
# sns.set_context(rc={"figure.figsize": (8, 4)})

# x = stats.gamma(3).rvs(5000)
# plt.hist(x, 70, alpha=.7);
# plt.show()

data = Data()

