stucchio

from matplotlib import use

from pylab import *
from scipy.stats import beta, norm, uniform
from random import random
from numpy import *
import numpy as np
import os

# Input data

stucchio

from pylab import *

E = 1.5 # exercise level
height = 6*12 #Height in inches
a = E * (66 + 12.7*height) / 3500.0
b = E * 6.23 / 3500
g = E * 6.775 / (365*3500.0)

age_range = (28, 40)
t = arange(age_range[0]*365,age_range[1]*365)

stucchio

from numpy import *
from scipy.stats import beta
import random


class BetaBandit(object):
    def __init__(self, num_options=2, prior=None):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options

stucchio

from numpy import *
from scipy.stats import beta


class BetaBandit(object):
    def __init__(self, num_options=2, prior=(1.0,1.0)):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options
        self.prior = prior

stucchio

from pylab import *
from scipy.stats import *

num_adults = 227e6
basic_income = 7.25*40*50
labor_force = 154e6
disabled_adults = 21e6
current_wealth_transfers = 3369e9

def jk_rowling(num_non_workers):

stucchio

from pylab import *
from scipy.stats import beta, norm, uniform
from random import random
from numpy import *
import numpy as np
import os

# Input data
prior_params = [ (1, 1), (1,1) ]

stucchio

from pylab import *
from scipy.stats import uniform, binom, expon, beta

true_gamma = 0.5

N = 600
T = 15
data = zeros((2, N), dtype=float)
event_times = data[0,:]
event_times[:] = uniform(0,15).rvs(N)

stucchio

#!/bin/sh

old=$1
new=$2

if [ $old ] && [ $new ]
then
    echo "Cloning $old, saving result as $new"
else
    echo "Usage: clone-ubuntu.sh oldname newname"

stucchio

File "C:\Users\stucc\Dropbox\src\daywalker\test\..\readme.md", line 86, in readme.md
Failed example:
    history[['open', 'high', 'low', 'close', 'volume', 'divCash', 'splitFactor']]
Expected:
                 open   high   low  close   volume  divCash  splitFactor
    date
    2004-08-12  17.50  17.58  17.5  17.50  2545100      0.0          1.0
    2004-08-13  17.50  17.51  17.5  17.51   593000      0.0          1.0
    2004-08-16  17.54  17.54  17.5  17.50   684700      0.0          1.0
Got:

stucchio

import config
from azure.keyvault.secrets import SecretClient
from azure.identity import ClientSecretCredential
from azure.core.exceptions import ResourceNotFoundError
import time


class AzureKeyVaultConfiguration(config.Configuration):
    """
    Configuration class.