tristanwietsma

# OSCATS

FROM ubuntu
MAINTAINER Tristan Wietsma twietsma@civisanalytics.com

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

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

tristanwietsma

package main

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

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

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

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

This is the map of Nielen Designated Marketing Areas using D3.js. Hover over for data related to each area.

See map here

###Credits

• Map adapted from Mike Bostock's map example
• Topojson made by converting shapefile from here to topojson via Mike Bostock's instructions
• Nielsen rank and TV data via tvb

tristanwietsma

#!/usr/local/bin/python3

import sys, os
from concurrent.futures import ProcessPoolExecutor

def osjob(cmd):
    print("running `{}`".format(cmd))
    os.system(cmd)
    print("finished `{}`".format(cmd))

tristanwietsma

diff -r 08a7912b8a09 -r 4c04152dfffe sqlautocode/config.py
--- a/sqlautocode/config.py     Mon Sep 24 10:44:30 2012 +0200
+++ b/sqlautocode/config.py     Wed Apr 17 13:26:23 2013 +0300
@@ -140,7 +140,7 @@
         engine = sqlalchemy.create_engine(url)
         test = engine.connect()
         test.close()
-    except sqlalchemy.exceptions.SQLAlchemyError, ex:
+    except sqlalchemy.exc.SQLAlchemyError, ex:
         parser.error('Could not connect to "%s": %s' % (url, ex))

tristanwietsma

Inspired by Trulia Trends - but with code and using SVG.

Example data shows concurrent user sessions over time, taken from a development environment.

tristanwietsma

from concurrent.futures import ProcessPoolExecutor

def myfunc(a, b, c):
    return a + b + c

if __name__ == '__main__':

    workers = 3

    result = []