Cornel Ghiban cghiban

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

The shell script was used to clean the data and upload it to BigQuery. You can access the data yourself there:

https://bigquery.cloud.google.com/table/nypd-data:nypd.stop_and_frisk

Or if you simply want a giant zip of CSV files, go here (note: You'll have to do the work of reconciling the columns in order to get all the files into one database):

http://stash.compciv.org.s3.amazonaws.com/nypd-stop-and-frisk/2003-2013.zip

The R script in this gist produces the image below:

	from datetime import datetime
	from sqlalchemy import Column, Integer, DateTime, ForeignKey
	from sqlalchemy.orm import relationship
	from sqlalchemy.ext.declarative import declared_attr
	from flask_security import current_user


	class AuditMixin(object):
	created_at = Column(DateTime, default=datetime.now)
	updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)

	# Set cache dir
	proxy_cache_path /var/cache/nginx levels=1:2
	keys_zone=microcache:5m max_size=1000m;

	# Virtualhost/server configuration
	server {
	listen 80;
	server_name yourhost.domain.com;

	# Define cached location (may not be whole site)

	fastcgi_cache_path /var/cache/nginx levels=1:2 keys_zone=microcache:10m max_size=1024m inactive=15m;
	map $http_cookie $cache_uid {
	default nil; # hommage to Lisp :)
	~SESS[[:alnum:]]+=(?<session_id>[[:alnum:]]+) $session_id;
	}

	map $request_method $no_cache {
	default 1;
	HEAD 0;
	GET 0;

	#!/usr/bin/env perl

	use Mojolicious::Lite;
	use Mojo::JSON 'j';
	use Mojo::Asset::Memory;
	use File::Spec;

	helper send_ready_signal => sub {
	my $self = shift;
	my $payload = { ready => \1 };