<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[learn_is_happy的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/learn_is_happy</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; learn_is_happy]]></copyright><item><title><![CDATA[《利用python进行数据分析》学习   numpy库]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78915987</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78915987</guid><author>learn_is_happy</author><pubDate>Wed, 27 Dec 2017 20:18:07 +0800</pubDate><description><![CDATA[《利用python进行数据分析》学习   numpy库一、基本概念 
Numpy是高性能科学计算和数据分析的基础包，功能如下： 
1、ndarray,一个具有矢量算数运算和复杂广播能力的快速且节省空间的多维数组。 
2、用于对整组数据进行快速运算的标准数学函数（无需编写循环） 
3、用于读写磁盘数据的工具以及用于操作内存映射文件的工具 
4、线性代数、随机数生成以及傅里叶变换功能对于大部分数据分析应]]></description><category></category></item><item><title><![CDATA[python 爬取排行榜小说和文本]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78900271</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78900271</guid><author>learn_is_happy</author><pubDate>Tue, 26 Dec 2017 11:18:11 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import scrapy
import sys
sys.path.append("D:\\pycodes\\novel")
class XiaoshuoSpider(scrapy.Spider):
    name = 'xiaoshuo'
    start_urls = ['https://www.qu.la/paihangbang/']]]></description><category></category></item><item><title><![CDATA[python 爬虫scrapy框架 自建IP代理池]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78893623</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78893623</guid><author>learn_is_happy</author><pubDate>Mon, 25 Dec 2017 15:51:51 +0800</pubDate><description><![CDATA[1、http://www.xicidaili.com/wt  国内免费代理网站2、利用scrapy爬取该网站内的IP地址与端口，写入txt文档3、编写脚本测试txt文档中的ip地址与端口是否可用4、将可用ip地址与端口输入txt文档———————————————————————— 
1、编写Item类 
由于我们只需要ip地址与端口，所以只写一个属性即可# -*- coding: utf-8 -*-]]></description><category></category></item><item><title><![CDATA[python爬虫 scrapy框架学习]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78836145</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78836145</guid><author>learn_is_happy</author><pubDate>Tue, 19 Dec 2017 14:08:32 +0800</pubDate><description><![CDATA[python爬虫 scrapy框架学习

一、步骤： 
新建项目 (Project)：新建一个新的爬虫项目 
明确目标（Items）：明确你想要抓取的目标 
制作爬虫（Spider）：制作爬虫开始爬取网页 
存储内容（Pipeline）：设计管道存储爬取内容

1、新建项目 
scrapy  startproject  filename  baidu.com

2、明确目标 
在Scrapy中，i]]></description><category></category></item><item><title><![CDATA[python学习 爬取豆瓣电影名称 及评分]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78817980</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78817980</guid><author>learn_is_happy</author><pubDate>Sat, 16 Dec 2017 07:42:59 +0800</pubDate><description><![CDATA[import requests
from bs4 import BeautifulSoup
import bs4
import re
def getHTMLText(url):
    try:
        r = requests.get(url)
        r.raise_for_status()
        r.encoding = r.apparent_encoding]]></description><category></category></item><item><title><![CDATA[python 爬虫 豆瓣韩国电影]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78817492</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78817492</guid><author>learn_is_happy</author><pubDate>Sat, 16 Dec 2017 00:05:12 +0800</pubDate><description><![CDATA[import requests
from bs4 import BeautifulSoup
import bs4
import re
def getHTMLText(url):
    try:
        r = requests.get(url)
        r.raise_for_status()
        r.encoding = r.apparent_encoding]]></description><category></category></item><item><title><![CDATA[python 爬虫 大众点评美食排名]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78816536</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78816536</guid><author>learn_is_happy</author><pubDate>Fri, 15 Dec 2017 20:34:13 +0800</pubDate><description><![CDATA[import requests
from bs4 import BeautifulSoup
import redef getHTMLText(url):
    try:
        r = requests.get(url)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return]]></description><category></category></item><item><title><![CDATA[python 爬虫 爬取大众点评11月之星]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78808395</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78808395</guid><author>learn_is_happy</author><pubDate>Thu, 14 Dec 2017 23:05:52 +0800</pubDate><description><![CDATA[import requests
from bs4 import BeautifulSoup
import redef getHTMLText(url):
    try:
        r = requests.get(url)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return]]></description><category></category></item><item><title><![CDATA[python爬虫学习 之 定向爬取 股票信息]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78786329</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78786329</guid><author>learn_is_happy</author><pubDate>Tue, 12 Dec 2017 21:28:38 +0800</pubDate><description><![CDATA[一、功能描述 
目标：获取上交所和深交所所有股票的名称和交易      信息 
输出：保存到文件中技术路线：requests-bs4-re二、 
选取原则：股票信息静态存在于HTML页面中，非js代码生成，没有robots协议限制三、程序的结构设计 
1、从东方财富网获取股票列表 
2、根据股票列表逐个到百度股票获取个股信息 
3、将结果存储到文件四、import requests
from bs4]]></description><category></category></item><item><title><![CDATA[python爬虫学习 之 定向爬取 淘宝商品价格]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78773956</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78773956</guid><author>learn_is_happy</author><pubDate>Mon, 11 Dec 2017 16:26:19 +0800</pubDate><description><![CDATA[python爬虫学习 之 定向爬取 淘宝商品价格import requests
import redef getHTMLText(url):
    try:
        r = requests.get(url, timeout=30)
        r.raise_for_status()  #如果发送了一个失败请求(非200响应),#我们可以通过 Response.raise_for_s]]></description><category></category></item><item><title><![CDATA[WS07-Re(正则表达式)库入门]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78773894</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78773894</guid><author>learn_is_happy</author><pubDate>Mon, 11 Dec 2017 16:21:51 +0800</pubDate><description><![CDATA[1、正则表达式是用来简洁表达一组字符串的表达式 
正则表达式是一种通用的字符串表达框架 
正则表达式是一种针对字符串表达“简洁”和“特征”思想的工具 
正则表达式可以用来判断某字符串的特征归属2、 
. 表示任何单个字符 
[ ] 字符集，对单个字符给出取值范围 [abc]表示a、b、c，[a‐z]表示a到z单个字符 
[^ ] 非字符集，对单个字符给出排除范围 [^abc]表示非a或b或c的单个字]]></description><category></category></item><item><title><![CDATA[python爬虫学习 之 定向爬取 中国大学排名]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767734</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767734</guid><author>learn_is_happy</author><pubDate>Sun, 10 Dec 2017 21:32:53 +0800</pubDate><description><![CDATA[python爬虫学习 之 定向爬取 中国大学排名输入：大学url链接 
输出：大学排名的屏幕输出（排名，名称，所在省份） 
技术路线：requests-bs4 
定向爬虫，不扩展获取1、爬取可行性分析 
2、程序结构设计步骤1：从网络上获取大学排名网页内容getHTMLText() 
步骤2：提取网页内容中信息到合适的数据结构fillUnivList() 
步骤3：利用数据结构展示并输出结果prin]]></description><category></category></item><item><title><![CDATA[python爬虫学习 信息标记与提取方法]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767555</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767555</guid><author>learn_is_happy</author><pubDate>Sun, 10 Dec 2017 21:13:50 +0800</pubDate><description><![CDATA[python爬虫学习 信息标记与提取方法1、.find_all(name, attrs, recursive, string, **kwargs) 
∙ name : 对标签名称的检索字符串 
attrs: 对标签属性值的检索字符串，可标注属性检索 
 recursive: 是否对子孙全部检索，默认True 
 string: <>…]]></description><category></category></item><item><title><![CDATA[python爬虫学习]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767483</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78767483</guid><author>learn_is_happy</author><pubDate>Sun, 10 Dec 2017 21:05:09 +0800</pubDate><description><![CDATA[python爬虫学习一、Beautiful Soup库1、引用 
from bs4 import BeautifulSoupfrom bs4 import BeautifulSoup
soup = BeautifulSoup('<p>data</p>', 'html.parser')2、BeautifulSoup类的基本元素Tag 标签，最基本的信息组织单元，分别用<>和for child in s]]></description><category></category></item><item><title><![CDATA[输出n范围内的素数（质数）]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78763311</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78763311</guid><author>learn_is_happy</author><pubDate>Sun, 10 Dec 2017 10:17:37 +0800</pubDate><description><![CDATA[list1=[]
n=int(input("输入一个整数:"))
for i in range(2,n+1):
    for j in range(2,i):
        if i%j==0:
            break
    else:
        list1.append(i)
print (list1)]]></description><category></category></item><item><title><![CDATA[map,filter函数，评价统计]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78761671</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78761671</guid><author>learn_is_happy</author><pubDate>Sun, 10 Dec 2017 00:01:10 +0800</pubDate><description><![CDATA[1、将列表中字符串划成数字 
利用map函数 
x=[“1”,”2”,”3”] 
y=list(map(int,x)) 
y=[1,2,3]2、filter函数filter(function, sequence)：对sequence中的item依次执行function(item)，将执行结果为True的item组成一个List/String/Tuple（取决于sequence的类型）返回：x=[]]]></description><category></category></item><item><title><![CDATA[python 用turtle库绘制时钟]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78727462</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78727462</guid><author>learn_is_happy</author><pubDate>Wed, 06 Dec 2017 09:57:05 +0800</pubDate><description><![CDATA[from turtle import *
from datetime import *def Skip(step):
    penup()
    forward(step)
    pendown()def mkHand(name, length):
    #注册Turtle形状，建立表针Turtle
    reset()
    Skip(-length*0.1)
    begin_po]]></description><category></category></item><item><title><![CDATA[中国大学 MOOC 课程 《Python 语言程序设计》第七周课上练习]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78715684</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78715684</guid><author>learn_is_happy</author><pubDate>Wed, 06 Dec 2017 09:16:54 +0800</pubDate><description><![CDATA[中国大学 MOOC 课程 《Python 语言程序设计》第七周课上练习1、铅球运行轨迹from math import pi,sin,cos,radians
def main():
    angle,vel,h0,time = getInputs()
    xpos,ypos=0,h0
    xvel,yvel=getXYComponents(vel,angle)
    while ypos]]></description><category></category></item><item><title><![CDATA[中国大学 MOOC 课程 《Python 语言程序设计》第六周课后习题]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78706495</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78706495</guid><author>learn_is_happy</author><pubDate>Mon, 04 Dec 2017 20:43:11 +0800</pubDate><description><![CDATA[1、open(“filename”,”rb”).read()与open(“filename”,”r”).read()的区别， 
前者读取二进制码文件，后者读ASCII码文件，文本文件一般以ASCII码编写。2、split函数split()默认的话 包含所有空字符，“　”　＼ｎ　＼ｔ等等 
split(” “)识别 “ ” 没有的话默认在一块file=open("name.txt","r")
line]]></description><category></category></item><item><title><![CDATA[统计英文文章中出现最多的词汇，并用turtle函数绘制柱状图]]></title><link>https://blog.youkuaiyun.com/learn_is_happy/article/details/78703963</link><guid>https://blog.youkuaiyun.com/learn_is_happy/article/details/78703963</guid><author>learn_is_happy</author><pubDate>Sun, 03 Dec 2017 22:58:15 +0800</pubDate><description><![CDATA[统计英文文章中出现最多的词汇，并用turtle函数绘制柱状图import turtle##全局变量##
#词频排列显示个数
count = 10
#单词频率数组-作为y轴数据
data = []
#单词数组-作为x轴数据
words = []
#y轴显示放大倍数-可以根据词频数量进行调节
yScale = 6
#x轴显示放大倍数-可以根据count数量进行调节
xScale = 30########]]></description><category></category></item></channel></rss>