alexsleat

#!/usr/bin/python

import sys		#for cmd line argv

#take command line args as the input string
input_string = sys.argv
#remove the program name from the argv list
input_string.pop(0)

#convert to google friendly url (with + replacing spaces)

pala

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

garthk

#!/usr/bin/env python
"""
Script to open a sqlite3 database and dump all user tables to CSV files.
Tested in Unicode-rich environment.

Usage:
    dumpsqlite3tocsv foo.db
"""

import sqlite3, csv, codecs, cStringIO, os, os.path

jeromyanglim

This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) 
using [knitr](http://yihui.name/knitr/) in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for 
[reproducible analysis](http://stats.stackexchange.com/a/15006/183).
Specifically, this post 
(1) discusses getting started with R Markdown and `knitr` in  Rstudio 0.96;
(2) provides a basic example of producing console output and plots using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and 
(5) discusses the implications of R Markdown.

ljos

#!/usr/bin/env python
#
# cocoa_keypress_monitor.py
# Copyright © 2016 Bjarte Johansen <Bjarte.Johansen@gmail.com>
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# “Software”), to deal in the Software without restriction, including

rufuspollock

#!/usr/bin/env python
# A simple Python script to convert csv files to sqlite (with type guessing)
#
# @author: Rufus Pollock
# Placed in the Public Domain
import csv
import sqlite3

def convert(filepath_or_fileobj, dbpath, table='data'):
    if isinstance(filepath_or_fileobj, basestring):

kiyukuta

#coding: utf8
"""
1. Download this gist.
2. Get the MNIST data. 
    wget http://deeplearning.net/data/mnist/mnist.pkl.gz 
3. Run this code.
    python autoencoder.py 100 -e 1 -b 20 -v 
"""
import numpy
import argparse

nori3tsu

from Crypto.Cipher import AES
import base64

BS = 16
pad = lambda s: s + (BS - len(s) % BS) * chr(BS - len(s) % BS)
unpad = lambda s : s[0:-ord(s[-1])]

class AESCipher:
    def __init__(self, key):
        self.key = key

scy

My OS X “VPN only” Setup For #30C3

You should never let passwords or private data be transmitted over an untrusted network (your neighbor’s, the one at Starbucks or the company) anyway, but on a hacker congress like the #30C3, this rule is almost vital.

Hackers get bored easily, and when they’re bored, they’re starting to look for things to play with. And a network with several thousand connected users is certainly an interesting thing to play with. Some of them might start intercepting the data on the network or do other nasty things with the packets that they can get.

If these packets are encrypted, messing with them is much harder (but not impossible! – see the end of this article). So you want your packets to be always encrypted. And the best way to do that is by using a VPN.

Target audience

tylerwalts

#!/bin/bash
#
# Set up OSX preferences
#
# Inspired by: https://github.com/mathiasbynens/dotfiles/blob/master/.osx
###########################################
# CONFIG

HOSTNAME="machiavellia"
TIMEZONE="America/Chicago" # 'systemsetup -listtimezones'