hussius

import tensorflow as tf
import numpy as np
import math
#import pandas as pd
#import sys

input = np.array([[2.0, 1.0, 1.0, 2.0],
                 [-2.0, 1.0, -1.0, 2.0],
                 [0.0, 1.0, 0.0, 2.0],
                 [0.0, -1.0, 0.0, -2.0],

ricbra

sudo apt-add-repository ppa:jon-severinsson/ffmpeg
sudo apt-get update 
sudo apt-get upgrade -y
version="$(wget -q -O - http://sourceforge.net/projects/opencvlibrary/files/opencv-unix | egrep -m1 -o '\"[0-9](\.[0-9]+)+' | cut -c2-)"
echo "Installing OpenCV" $version
mkdir OpenCV
cd OpenCV
echo "Removing any pre-installed ffmpeg and x264"
sudo apt-get -qq remove ffmpeg x264 libx264-dev
echo "Installing Dependenices"

ErikPeterson

//Set up scene, camera, and renderer
var scene = new THREE.Scene;
var camera = new THREE.PerspectiveCamera( 45, window.innerWidth / window.innerHeight, 1, 10000 );

var renderer = new THREE.CanvasRenderer();
    renderer.setClearColor( 0xf0f0f0 );
    renderer.setSize( window.innerWidth, window.innerHeight );
    document.body.appendChild( renderer.domElement );
                
var video = document.createElement('video');

sphaero

#!/bin/bash --debugger
set -e

BRANCH="master"
if grep -q BCM2708 /proc/cpuinfo; then
    echo "RPI BUILD!"
    RPI="1"
fi

[ -n "$1" ] && BRANCH=$1

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

my8bit

#!/usr/bin/python

# # # # # # # # # # # # # # # # # # # #
#                                     #
# Script was made by Dennis           #
# http://stefansundin.com/blog/452    #
# http://pastebin.com/8cw9LHFg        #
#                                     #
# # # # # # # # # # # # # # # # # # # #
 

mattbaggott

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, [email protected]
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#