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#!/usr/bin/env ruby
require 'rubygems'
require 'roo'
pwd = File.dirname(__FILE__)
Dir.glob("#{pwd}/*.xls") do |file|
file_path = "#{pwd}/#{file}"
file_basename = File.basename(file, ".xls")
xls = Excel.new(file_path)
@uogbuji
uogbuji / gruber_urlintext.py
Created November 18, 2010 18:28
John Gruber's regex to find URLs in plain text, converted to Python/Unicode
#See: http://daringfireball.net/2010/07/improved_regex_for_matching_urls
import re, urllib
GRUBER_URLINTEXT_PAT = re.compile(ur'(?i)\b((?:https?://|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:[^\s()<>]+|\(([^\s()<>]+|(\([^\s()<>]+\)))*\))+(?:\(([^\s()<>]+|(\([^\s()<>]+\)))*\)|[^\s`!()\[\]{};:\'".,<>?\xab\xbb\u201c\u201d\u2018\u2019]))')
for line in urllib.urlopen("http://daringfireball.net/misc/2010/07/url-matching-regex-test-data.text"):
print [ mgroups[0] for mgroups in GRUBER_URLINTEXT_PAT.findall(line) ]
@karmi
karmi / .gitignore
Created May 15, 2011 11:15
Import your Gmail messages into ElasticSearch and search them with a simple web application.
.DS_Store
*.log
Gemfile.lock
@mexitek
mexitek / json_to_postgre.php
Created August 25, 2011 19:12
Script to automate an import process from .json file to postgre DB.
<?php
# Configure
$DB_USER = 'admin';
$DB_PASS = 'qwerty';
$DB_HOST = 'localhost';
$DB_NAME = 'postgis-2-0';
// Param 3 when ran in shell will override this value
$DB_TABLE = 'public.florida_establishments_garman';
// Param 2 when ran in shell will override this value
$CATEGORY = 'misc';
@flavio
flavio / gemfile_lock2geminabox.rb
Created February 2, 2012 09:21
Parse Gemfile.lock, download all gems from rubygems and then upload them to a local instance of geminabox
#!/usr/bin/env ruby
require 'rubygems'
require 'bundler'
require 'fileutils'
require 'net/http'
require 'net/https'
require 'uri'
TMP_DIR = "/tmp/gems"
@liamcurry
liamcurry / gist:2597326
Created May 4, 2012 19:56
Vanilla JS vs jQuery

Moving from jQuery

Events

// jQuery
$(document).ready(function() {
  // code
})
@bjhess
bjhess / pull_request_webhook.md
Created May 18, 2012 15:58
The way I had to add a github repo webhook for pull requests

This is more complex than necessary.

GitHub webhooks for a URL by default only fire on repo pushes. There appears to be no way in the web UI to set up webhooks for other events. And so we go to the API. I prefer to do this type of thing with Hurl.

{
  "name": "web",
 "active": true,
@gbinal
gbinal / gist:3514850
Created August 29, 2012 16:01
First Round Goals for .gov github mashups
Needs: Should not require any code libraries from the host website but rather should be simple html while still static. [Note the iframe model used at http://www.nasa.gov/digitalstrategy/ via http://goo.gl/bzHH2 (code- http://goo.gl/StAvQ)]
Goals:
1. Widget for most recent commits from one github org (note - https://github.com/presidential-innovation-fellows/mygov/blob/gh-pages/_includes/js/commits.js )
2. Widget for most recent commits from all registered .gov github orgs, pulled dynamically from the SMR api
3. Widget for most active repos from one github org
4. Widget for most active repos from all registered .gov github orgs, pulled dynamically from the SMR api
5. Widget for most recent public activity from one github org
@pcolton
pcolton / gist:4410841
Last active December 10, 2015 08:58
Sample of monitoring CSS file changes with Pixate and RubyMotion. #pixate #rubymotion
class AppDelegate
def application(application, didFinishLaunchingWithOptions:launchOptions)
PixateFreestyle.initializePixateFreestyle
@window = UIWindow.alloc.initWithFrame(UIScreen.mainScreen.bounds)
@window.rootViewController = UIViewController.alloc.init
@window.styleMode = PXStylingNormal
@button = UIButton.buttonWithType UIButtonTypeSystem
@larsmans
larsmans / kmeans.py
Created February 14, 2013 13:38
k-means clustering in pure Python
#!/usr/bin/python
#
# K-means clustering using Lloyd's algorithm in pure Python.
# Written by Lars Buitinck. This code is in the public domain.
#
# The main program runs the clustering algorithm on a bunch of text documents
# specified as command-line arguments. These documents are first converted to
# sparse vectors, represented as lists of (index, value) pairs.
from collections import defaultdict