I hereby claim:
- I am stucchio on github.
- I am stucchio (https://keybase.io/stucchio) on keybase.
- I have a public key ASA_kgAJceWD7PGBJvFyqObwCMqZDv2hcDqFPpdi8DrJvgo
To claim this, I am signing this object:
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: |
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. |
import numpy as np | |
from numpy.linalg import solve | |
def vmat(n, discount_rate, tax_rate): | |
m = np.zeros(shape=(n,n)) | |
discount = tax_rate*np.exp(-1*discount_rate*np.arange(n)) | |
for i in range(n): | |
m[i, i:n] = discount[0:n-i] | |
m[i,i] = 1 | |
return m |
I hereby claim:
To claim this, I am signing this object:
from scipy.stats import norm | |
from numpy import mean | |
x = norm(0,1).rvs(10000) | |
y = norm(1,1).rvs(10000) # Group Y is 1 standard deviation better than group X | |
print("Mean of group X, exceeding the cutoff: " + str(mean(x[x > 3]))) # Prints 3.22 | |
print("Mean of group Y, exceeding the cutoff: " + str(mean(y[y > 3]))) # prints 3.40 |
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) |
from pylab import * | |
hiv_infections = 29418 | |
gun_homicides = 11078 | |
gun_suicides = 19392 | |
gun_deaths = gun_homicides + gun_suicides | |
hiv_qualys = array([22.9, 31.9]) | |
hiv_qualys_discounted = array([9.34, 13.18]) |
from pylab import * | |
from scipy.stats import norm, uniform | |
theta_grid = arange(0,2*pi,1.0/1024.0) | |
true_b = pi/2 | |
b_belief = ones(shape=theta_grid.shape, dtype=float) | |
b_belief /= b_belief.sum() |
import ghalton | |
from pylab import * | |
from scipy.stats import gamma | |
def qmc_gamma(alpha, N): | |
M = len(alpha) | |
sequencer = ghalton.Halton(2*M) | |
valid = ones(shape=(N,), dtype=bool) | |
hs = array(sequencer.get(N)).transpose() |
FROM ubuntu:14.04 | |
MAINTAINER Chris Stucchio <stucchio@gmail.com> | |
# Nginx | |
RUN apt-get update && apt-get install -y nginx nginx-extras && mkdir /var/www | |
ADD nginx.conf /etc/nginx/nginx.conf | |
ADD run_nginx.sh /bin/run_nginx.sh | |
RUN chmod +x /bin/run_nginx.sh |