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These scripts set up Crostini on my Pixelbook

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#!/usr/bin/python
# -*- coding: utf-8 -*-
# Pandoc filter that grabs the BibTeX code block from each note file
# and then uses bibtexparser to add a "short title" entry in the "note" field,
# appending finished BibTeX entry to a bibliography file.

from pandocfilters import toJSONFilter, CodeBlock
# https://github.com/sciunto/python-bibtexparser
import bibtexparser

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#!/usr/bin/env ruby
require 'time'
require 'erb'
require 'cgi'

filename = "~/.gitlogger"
## File format, One per line
# Repo Name:/path/to/base
dayone = false # log to day one? (true or false)
textlog = false # "~/Dropbox/nvALT2.2/GitLogger.md" # set to false to disable

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# -*- mode: ruby -*-
# vi: set ft=ruby :

MACHINE_NAME = "PYVM"

Vagrant.configure("2") do |config|
  #config.vm.box = "1404amd64"
  config.vm.box = "base"
#  config.vm.box_url = "http://cloud-images.ubuntu.com/vagrant/trusty/current/trusty-server-cloudimg-amd64-vagrant-disk1.box"

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Choropleth Mapping with Folium

A Leaflet.js map created with Folium and a custom D3 threshold scale, with data bound between the Pandas DataFrame and the TopoJSON. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:

map_3 = folium.Map(location=[40, -99], zoom_start=4)
map_3.geo_json(geo_path=county_geo, data_out='data3.json', data=df,
               columns=['GEO_ID', 'Median_Household_Income_2011'],
               key_on='feature.id',
 fill_color='PuRd', line_opacity=0.3,