rspivak

#!/usr/bin/env python
import sys
import StringIO
 
from lxml import etree
 
def main():
    xml_text = sys.stdin.read()
    parser = etree.XMLParser(remove_blank_text=True)
    file_obj = StringIO.StringIO(xml_text)

jorrizza

package main

import (
	"fmt"
	"github.com/nfnt/resize"
	"image"
	"image/color"
	_ "image/gif"
	_ "image/jpeg"
	_ "image/png"

h4cc

Howto

Install these programms

sudo apt-get install gnome-raw-thumbnailer ufraw-batch

Try now if everything works, and your thumbnails show up. If not, try the following part.

andrewroberts

//
// Create a PDF by merging values from a Google spreadsheet into a Google Doc
// ==========================================================================
//
// Demo GSheet & script - http://bit.ly/createPDF
// Demo GDoc template - 1QnWfeGrZ-86zY_Z7gPwbLoEx-m9YreFb7fc9XPWkwDw
//

// Config
// ======

amerberg

import ply.lex, argparse, io

#Usage
# python stripcomments.py input.tex > output.tex
# python stripcomments.py input.tex -e encoding > output.tex

#This utility is released under the WTFPL license: http://www.wtfpl.net/about/

def strip_comments(source):
    tokens = (

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

splacentino

ELEMENT

 <!ELEMENT element-name (TYPE[NUMBER] [| OTHER])>

TYPE :

• ANY : anything <!ELEMENT elany (ANY)>
• #PCDATA : parsed character <!ELEMENT elpc (#PCDATA)>

ada-lovecraft

<meta property="fb:app_id"      content="406655189415060">
        <meta property="og:site_name"   content="Giphy">
        <meta property="og:url"         content="http://giphy.com/gifs/rhuber-test-djeEV9Xji6zjgLXBxug">
        <meta property="og:title"       content="Animated GIF">
        <meta property="og:description" content="The best GIFs are on Giphy">

        
        <meta property="og:type"        content="video.other">
        <meta property="og:image"       content="http://media.giphy.com/media/djeEV9Xji6zjgLXBxug/giphy.gif">
        <meta property="og:image:width"       content="912">

miloharper

from numpy import exp, array, random, dot


class NeuralNetwork():
    def __init__(self):
        # Seed the random number generator, so it generates the same numbers
        # every time the program runs.
        random.seed(1)

        # We model a single neuron, with 3 input connections and 1 output connection.

primaryobjects

library(caret)
library(tm)

# Training data.
data <- c('Cats like to chase mice.', 'Dogs like to eat big bones.')
corpus <- VCorpus(VectorSource(data))

# Create a document term matrix.
tdm <- DocumentTermMatrix(corpus, list(removePunctuation = TRUE, stopwords = TRUE, stemming = TRUE, removeNumbers = TRUE))