n1k0

/**
 * This casper scipt checks for 404 internal links for a given root url.
 *
 * Usage:
 *
 *     $ casperjs 404checker.js http://mysite.tld/
 *     $ casperjs 404checker.js http://mysite.tld/ --max-depth=42
 */

/*global URI*/

miguelgrinberg

#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask_httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':

karmadude

Contours of San Francisco overlayed over OpenStreeMap vector tiles using code from mbostock's vector tiles with multiple layers example. View the hi-res file

See gist for code used to generate contours.

niccokunzmann

## The MIT License (MIT)
## ---------------------
##
## Copyright (C) 2014 Nicco Kunzmann
##
## https://gist.github.com/niccokunzmann/6038331
##
## Permission is hereby granted, free of charge, to any person obtaining
## a copy of this software and associated documentation files (the "Software"),

aymanfarhat

import re
import random

# Load the file into a graph represented by a dict of lists
def load_graph():
    g = {}

    f = open('kargerMinCut.txt')
    lines = f.readlines()
    f.close()

mblondel

# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

tkralphs

import numpy as np

def GEPP(A, b, doPricing = True):
    '''
    Gaussian elimination with partial pivoting.
    
    input: A is an n x n numpy matrix
           b is an n x 1 numpy array
    output: x is the solution of Ax=b 
            with the entries permuted in 

dloman

### BEGIN INIT INFO
# Provides: Xvfb
# Required-Start: $local_fs $remote_fs
# Required-Stop:
# X-Start-Before:
# Default-Start: 2 3 4 5
# Default-Stop: 0 1 6
# Short-Description: Loads X Virtual Frame Buffer
### END INIT INFO

d3noob

license: mit

phillipjohnson

import rauth
import time

def main():
	locations = [(39.98,-82.98),(42.24,-83.61),(41.33,-89.13)]
	api_calls = []
	for lat,long in locations:
		params = get_search_parameters(lat,long)
		api_calls.append(get_results(params))
		#Be a good internet citizen and rate-limit yourself