Joseph Misiti josephmisiti

Source: American Community Survey, 2011 5-Year Estimate

This map was inspired by a similar map found on Wikipedia. I wasn’t wild about the diverging color scale, so I thought it would be a fun challenge to recreate.

Finding the shapefiles was easy; I used the U.S. National Atlas 1:1,000,000 scale dataset, conveniently packaged in my U.S. Atlas repository. I reprojected the shapefiles to the California Albers projection using ogr2ogr:

ogr2ogr \
	-f 'ESRI Shapefile' \
	-t_srs 'EPSG:3310' \

Source: American Community Survey, 2011 5-Year Estimate

This map was inspired by a similar map found on Wikipedia. I wasn’t wild about the diverging color scale, so I thought it would be a fun challenge to recreate.

Finding the shapefiles was easy; I used the U.S. National Atlas 1:1,000,000 scale dataset, conveniently packaged in my U.S. Atlas repository. I reprojected the shapefiles to the California Albers projection using ogr2ogr:

ogr2ogr \
	-f 'ESRI Shapefile' \
	-t_srs 'EPSG:3310' \

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called (Functional) Reactive Programming (FRP).

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

Dustin Moskovitz is a cofounder of Asana, and was a co-founder of Facebook. Here are some of his favorite books.

Many thanks to Dustin for this list.

On Consciousness

Douglas R. Hofstadter

Godel, Escher, Bach: An Eternal Golden Braid

	#!/bin/bash

	set -e
	set -x

	LIMIT=10000

	for h in `seq 0 23`
	do
	for d in `seq 1 7`

	# Author: Pieter Noordhuis
	# Description: Simple demo to showcase Redis PubSub with EventMachine
	#
	# Update 7 Oct 2010:
	# - This example does not appear to work with Chrome >=6.0. Apparently,
	# the WebSocket protocol implementation in the cramp gem does not work
	# well with Chrome's (newer) WebSocket implementation.
	#
	# Requirements:
	# - rubygems: eventmachine, thin, cramp, sinatra, yajl-ruby

	"""
	A deep neural network with or w/o dropout in one file.
	"""

	import numpy, theano, sys, math
	from theano import tensor as T
	from theano import shared
	from theano.tensor.shared_randomstreams import RandomStreams
	from collections import OrderedDict

	sudo apt-get -y update
	sudo apt-get -y upgrade
	sudo apt-get -y dist-upgrade
	sudo apt-get -y install git make python-dev python-setuptools libblas-dev gfortran g++ python-pip python-numpy python-scipy liblapack-dev
	sudo pip install ipython nose
	sudo apt-get install screen
	sudo pip install --upgrade git+git://github.com/Theano/Theano.git
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_5.5-0_amd64.deb
	sudo dpkg -i cuda-repo-ubuntu1204_5.5-0_amd64.deb
	sudo apt-get update

	from gensim import corpora, models, similarities, utils
	import logging
	import os
	import re

	logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)

	class DirectoryCorpus(corpora.TextCorpus):

	def get_texts(self):

	// Ovveride Underscore.js' template format
	_.templateSettings = {
	evaluate: /\{%([\s\S]+?)%\}/g,
	interpolate: /\{\{(.+?)\}\}/g
	};