tristanwietsma

import random
from joblib import Parallel, delayed
import time

def Example(c):
    some_random_delay = int(2*random.random()*c)
    time.sleep(some_random_delay)  # let's pretend we're doing work 
    print some_random_delay
    return some_random_delay

tristanwietsma

from __future__ import division
import numpy
from sklearn import hmm

"""
X is a numpy array with shape (#samples, #sensors).
X = [[sensor1(0), sensor2(0)], [sensor1(1), sensor2(1)], ..., [sensor1(T), sensor2(T)]]

nc = number of latent states (3 would imply three strata)

tristanwietsma

# python 3.3: example of futures

import time
import concurrent.futures

def add(x, y):
    time.sleep(2)
    return x + y

with concurrent.futures.ThreadPoolExecutor(max_workers=4) as queue:

tristanwietsma

package main

import (
    "fmt"
    "github.com/gorilla/mux"
    "github.com/tristanwietsma/metastore"
    "log"
    "net/http"
)

tristanwietsma

# OSCATS

FROM ubuntu
MAINTAINER Tristan Wietsma [email protected]

RUN apt-get update
RUN apt-get upgrade -y

RUN apt-get install -y build-essential
RUN apt-get install -y autoconf automake

tristanwietsma

import flask
import qrcode
import qrcode.image.svg
import qrcode.image.pil

app = flask.Flask(__name__)

class TextStream:
    
    def __init__(self):

tristanwietsma

import numpy as np
import rpy2.robjects as ro
import rpy2.robjects.numpy2ri as n2r
n2r.activate()

r = ro.r
r.library('glmnet')

# input files (for this example) need to have header and NO index column
X = np.loadtxt('./x.csv', dtype=float, delimiter=',', skiprows=1)

tristanwietsma

from __future__ import division
import numpy

import rpy2.robjects as ro 
import rpy2.rlike.container as rlc
import rpy2.robjects.numpy2ri as numpy2ri

X = numpy.random.rand(100, 3)

_y = 0.25*X[:,0] + 0.7*X[:,1] - 0.45*X[:,2]

tristanwietsma

import numpy
import pandas

df1 = pandas.DataFrame(numpy.random.randn(5,4), columns=list('ABCD'))
df2 = pandas.DataFrame(numpy.random.randn(5,4), columns=list('DEFG'))

print pandas.merge(df1, df2, on='D', how='outer')

#             A         B         C         D         E         F         G
#	  0  1.054809 -0.078626 -0.052766  0.463954       NaN       NaN       NaN

tristanwietsma

# Python Data Science Environment
#
# VERSION       1.0

# use ubuntu base image from dotCloud
FROM ubuntu
MAINTAINER Tristan Wietsma [email protected]

# update and upgrade repos
RUN echo "deb http://archive.ubuntu.com/ubuntu precise main universe" > /etc/apt/sources.list