ikbear

#!/usr/bin/env python
# encoding: utf-8
import random

# Parameters: N for N clusters,
# P for the computing power of a cluster,
# M for M requests at epoch t,
# T for the teardown time of a request.
# Qmin, Qavg, Qmax are for probability
# distribution law II(Qmin, Qavg, Qmax).

ikbear

#!/bin/bash
# encoding: utf-8

rm data.txt
i=1
while [ "$i" -le 100 ]
do
  python sim.py
  i=$((i+1))
done

ikbear

#!/usr/bin/env python
# encoding: utf-8

import sys

def main():
  f = open('data.txt')
  c1, c2, c3 = 0.0, 0.0, 0.0
  lines = f.readlines()
  length = len(lines)

ikbear

require "nokogiri"
require "open-uri"
doc = Nokogiri::HTML(open("http://vladimirzotov.500px.com/").read)
imgs = doc.css('img').map { |i| i['src'] }

i = 0
for img in imgs
  data = open(img) { |f| f.read }
  open(i.to_s + ".jpg", "wb") { |f| f.write(data) }
  i += 1

ikbear

# Gemfile
gem 'redis', '~> 3.0.1'

ikbear

package main

// sort a map's keys in descending order of its values.

import "sort"

type sortedMap struct {
	m map[string]int
	s []string
}

ikbear

下面是陈首席陈临怀发表在微博上的 [NetScreen的往事]，我在看的过程中将其拷贝出来，整理成文，方便想看的人一口气看完。微博见：http://weibo.com/huailinchen

［NetScreen的往事］下午要在厦门见邓锋。突然又想起了许多NetScreen的往事。我是一个能写代码的文艺青年。决定在weibo上，来写写过去，算作为逐渐老去的我们的一点纪念。。。

［NetScreen的往事（1）］2001年的9月11日的早晨。我大概7点左右被人叫醒。纽约遭遇攻击！“。在电视上我看着第2架飞机冲入Tower Building，恍惚做梦一般。。。 上午去公司。。。大家都很担心。知道NetScreen的创办人Feng和Yan也在纽约，处理公司上市的事情。大家都很担心他们。我们是兄弟。

［NetScreen的往事（2）］应该是中午的时候传来消息。他们已经跑到亚特兰大去了。在等待转机。。。大家都在等着他们的回来。记得是晚上7点左右，夏天的加州，依然天很亮。我和Shalang（现Juniper Beijing Director）在楼下抽烟。看见Feng和Yan下车了。。。我是个很感情化的人，冲上去拥抱了Feng。

［NetScreen的往事（3）］Yan是个比较严肃的人，而我的工作基本上是他和Yuming［Palo Alto创办人，今年上市，发大了］直接领导。他经常修理我。有点怕他。不敢和他拥抱。Feng很随和，喜欢开玩笑［含黄色段子］。大家都喜欢他。。。

ikbear

A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. While it's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.

###Dataflow Engines:

Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf

Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf

ikbear

#!/usr/bin/env ruby
require 'thor'
require 'rest_client'
require 'base64'
require 'qiniu-rs'

class QiniuUploader < Thor
  desc "upload", "Upload a file to qiniu cloud storage"
  def upload
    bucket = 'mybucket'

ikbear

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discussions around concrete examples, not handy-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style