fxsjy

#!/usr/bin/env python
# Problem: http://www.weibo.com/2090476735/ynJtWvN1K
# junyi sun (weibo.com/treapdb)
from numpy import *

def Q(L):
    H = [0]*11
    H[0] = 1 #bias item
    for x in L:
        H[x+1]+=1

fxsjy

# Back-Propagation Neural Networks
# another way: solve it as a Regression Problem
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string

fxsjy

# Back-Propagation Neural Networks
# 
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string

yongsun

X = [
    1,0,3,0,0,0,0,0,1,0,0; % 7111
    1,1,0,0,0,0,0,0,0,2,1; % 8809
    1,0,1,2,0,0,0,0,1,0,0; % 2172
    1,0,0,0,0,0,0,4,0,0,0; % 6666
    1,0,4,0,0,0,0,0,0,0,0; % 1111
    1,0,0,4,0,0,0,0,0,0,0; % 2222
    1,0,0,1,0,0,0,2,1,0,0; % 7662
    1,0,1,0,2,0,0,0,0,0,1; % 9313
    1,4,0,0,0,0,0,0,0,0,0; % 0000

cfjedimaster

allfields = $("input[required]");
$("input[required]").on("input", function(e) {
	if(!hasGetUserMedia()) return;
	//count number of invalid fields
	var totalGood = 0;
	for(var i=0, len=allfields.length; i<len; i++) {
		if($(allfields[i]).attr("required") && allfields[i].checkValidity()) {
			totalGood++;
		}
	}

xccds

\documentclass[UTF8,10pt]{ctexart}
\usepackage[a4paper,%%textwidth=129mm,textheight=185mm,  %%193-8
text={160mm,260mm},centering]{geometry}
\pagestyle{empty}
\begin{document}
\title{用散点图示范ggplot2的核心概念}
\author{肖凯}
\maketitle
\abstract{
本文稿是第五届R语言会议演讲内容的一部分，试图用散点图示例来说明ggplot2包的核心概念，以方便初学者快速上手。同时这也是笔者应用knitr包的一个练习。该示例所用数据是ggplot2包内带的mpg数据集。}

HenrikJoreteg

// grab your file object from a file input
$('#fileInput').change(function () {
  sendFile(this.files[0]);
});

// can also be from a drag-from-desktop drop
$('dropZone')[0].ondrop = function (e) {
  e.preventDefault();
  sendFile(e.dataTransfer.files[0]);
};

xamox

'''
This is how to track a white ball example using SimpleCV

The parameters may need to be adjusted to match the RGB color
of your object.

The demo video can be found at:
http://www.youtube.com/watch?v=jihxqg3kr-g
'''
print __doc__

ebidel

<?php
$fileName = $_FILES['afile']['name'];
$fileType = $_FILES['afile']['type'];
$fileContent = file_get_contents($_FILES['afile']['tmp_name']);
$dataUrl = 'data:' . $fileType . ';base64,' . base64_encode($fileContent);

$json = json_encode(array(
  'name' => $fileName,
  'type' => $fileType,
  'dataUrl' => $dataUrl,

jholster

import tornado.web
import tornado.httpserver
import tornado.ioloop

class MainHandler(tornado.web.RequestHandler):
	def get(self):
		self.write("Greetings from the instance %s!" % tornado.process.task_id())

app = tornado.web.Application([
	(r"/", MainHandler),