endolith

from numpy import linspace, cos, pi, absolute
from numpy.fft import fft, fftfreq, fftshift
import matplotlib.pyplot as plt

# Sampling rate
fs = 64  # Hz

# Time is from 0 to 1 seconds, but leave off the endpoint, so
# that 1.0 seconds is the first sample of the *next* chunk
length = 1  # second

mbostock

license: gpl-3.0

justquick

Jquick7490MLA:force jquick$ mkvirtualenv  force
Traceback (most recent call last):
  File "/usr/local/bin/virtualenv", line 8, in <module>
    load_entry_point('virtualenv==1.5.1', 'console_scripts', 'virtualenv')()
  File "/Library/Python/2.6/site-packages/virtualenv.py", line 558, in main
    prompt=options.prompt)
  File "/Library/Python/2.6/site-packages/virtualenv.py", line 647, in create_environment
    site_packages=site_packages, clear=clear))
  File "/Library/Python/2.6/site-packages/virtualenv.py", line 771, in install_python
    copy_required_modules(home_dir)

j2labs

#!/usr/bin/env python

# Average runs looks like this:
# $ ./serialization.py 
# Starting json...
# done: 5.75292301178
# Starting simplejson...
# done: 6.66689586639
# Starting cjson...
# done: 2.09307098389

avar

# To check if this is up-to-date with the tax rates go to
# http://www.expatax.nl/tax-rates-2016.php and see if there's anything
# newer there.
#
# I make no guarantees that any of this is correct. I calculated this
# at the time and have been updating it when new tax rates come along
# because people keep finding this useful.
#
# There's also an interactive JS version of this created by
# @stevermeister at

flashingpumpkin

def coroutine(func):
    """
    A decorator that turns a function with normal input into a coroutine.
    This decorator takes care of priming the coroutine, doing the looping and
    handling the closing.
    
    The first argument of any decorated function is what was received when 
    data was sent to the coroutine via the ``.send`` method. All the other
    ``*args`` and ``**kwargs`` are what was passed to the decorated function
    when instantiating the coroutine.

kohlmeier

#!/usr/bin/env python

from numpy import asmatrix, asarray, ones, zeros, mean, sum, arange, prod, dot, loadtxt
from numpy.random import random, randint
import pickle

MISSING_VALUE = -1 # a constant I will use to denote missing integer values

def impute_hidden_node(E, I, theta, sample_hidden):

kohlmeier

#!/usr/bin/env python

from pandas import DataFrame, Series

import numpy as np
import math
import random
import copy

NaN_Flag = -1  # pandas uses np.nan, but that coerces ints to floats :(

mdengler

#!/usr/bin/env python                                                                                                                                                         
                                                                                                                                                                              
# Trivial GARCH implementation in python                                                                                                                                      
#                                                                                                                                                                             
# From Peter Tessin's http://www.petertessin.com/TimeSeries.pdf                                                                                                               
#                                                                                                                                                    

jcreixell

import gspread
from pandas import *
import logging


class GDocError(Exception):
    def __init__(self, value):
        self.parameter = value

    def __str__(self):