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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Yuande Liu <miraclecome (at) gmail.com>

from __future__ import print_function, division

from gevent import monkey; monkey.patch_all()
import gevent
import time

LaoLiulaoliu

''.join(map((lambda d: lambda i: str(d[i]))([5,9,1,0,3]), [2,0,3,3,3,2,0,2,1,2,4]))

LaoLiulaoliu

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Liu Yuande
# https://jakevdp.github.io/blog/2012/12/01/a-primer-on-python-metaclasses/
# http://stackoverflow.com/questions/100003/what-is-a-metaclass-in-python
# http://stackoverflow.com/questions/17801344/python-understanding-metaclass-and-inheritance

# give a name, create a new car class. define the class in a more dynamic way.
# classes can inherit properties from parents and add or specialize attributes and methods.

LaoLiulaoliu

#!/usr/bin/env python
"""Resolve hostnames concurrently, exit after 60 seconds.

Under the hood, this might use an asynchronous resolver based on
c-ares (the default) or thread-pool-based resolver.

You can choose between resolvers using GEVENT_RESOLVER environment
variable. To enable threading resolver:

    GEVENT_RESOLVER=thread python dns_mass_resolve.py

LaoLiulaoliu

# == Schema Information
#
# Table name: admins
#
#  id                 :integer          not null, primary key
#  username           :string(255)      not null
#  encrypted_password :string(255)      not null
#  salt               :string(255)      not null
#  created_at         :datetime
#  updated_at         :datetime

LaoLiulaoliu

/***************************************** 
 * 感知器判断数字奇偶性 
 * 
 * 关键点,阈值应该怎么定? 
 ****************************************/  
#include <stdlib.h>
#include <stdio.h>
#include <time.h>

LaoLiulaoliu

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Yuande Liu <miracle (at) gmail.com>

import socket
import time
import requests
import lxml.html

def wrapper(url, timeout=20, retries=5, sleep=10, encoding ='gbk', text=False, errurl=None, errfunc=None):

LaoLiulaoliu

  o		o		o	
	o		 	x		
o			x	x	x	
			x			o
			x	x	x	o
		x				
				o		o
		o				
						

LaoLiulaoliu

import numpy as np
import pylab as pl
import pandas as pd

from sklearn import svm
from sklearn import linear_model
from sklearn import tree

from sklearn.metrics import confusion_matrix