Chaz Reid charlesreid1

Most VPN Services are Terrible

Short version: I strongly do not recommend using any of these providers. You are, of course, free to use whatever you like. My TL;DR advice: Roll your own and use Algo or Streisand. For messaging & voice, use Signal. For increased anonymity, use Tor for desktop (though recognize that doing so may actually put you at greater risk), and Onion Browser for mobile.

This mini-rant came on the heels of an interesting twitter discussion: https://twitter.com/kennwhite/status/591074055018582016

	from __future__ import division
	import numpy as np
	from scipy.integrate import simps
	from scipy.sparse import spdiags, coo_matrix, csc_matrix, dia_matrix, dok_matrix, identity
	from scipy.sparse.linalg import spsolve
	from itertools import chain
	import pylab

	import scipy
	print "scipy", scipy.__version__

	"""
	Simple web server that listens for Github webhooks to implement push-to-deploy
	with Pelican static sites

	Settings are loaded from a json file except for SECRET which should be an
	environment variable

	Example `deployer.json`

	{

	import java.io.IOException;
	import java.lang.reflect.Field;
	import java.lang.reflect.Method;
	import java.nio.ByteBuffer;
	import java.nio.channels.FileChannel;
	import java.nio.file.FileSystems;
	import java.nio.file.StandardOpenOption;
	import java.security.InvalidAlgorithmParameterException;
	import java.security.Provider;
	import java.security.SecureRandom;

	from fipy import Grid1D, CellVariable, FaceVariable, TransientTerm, DiffusionTerm, ExponentialConvectionTerm, ImplicitSourceTerm, Viewer
	import matplotlib.pyplot as plt
	import numpy as np

	L = 10.0
	nx = 100
	dx = L/nx
	timeStep = dx/10.0

	steps = 150

	import shutil, tempfile
	from os import path
	import unittest

	class TestExample(unittest.TestCase):
	def setUp(self):
	# Create a temporary directory
	self.test_dir = tempfile.mkdtemp()

	def tearDown(self):


	#user nobody;
	#Defines which Linux system user will own and run the Nginx server

	worker_processes 1;
	#Referes to single threaded process. Generally set to be equal to the number of CPUs or cores.

	#error_log logs/error.log; #error_log logs/error.log notice;
	#Specifies the file where server logs.

	"""
	This is a batched LSTM forward and backward pass
	"""
	import numpy as np
	import code

	class LSTM:

	@staticmethod
	def init(input_size, hidden_size, fancy_forget_bias_init = 3):

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)