尝试使用Python爬取城市租房信息

本实战项目仅以学习为目的,为避免给网站造成太大压力,请将代码中的num修改成较小的数字,并将线程改小

Posted in Python onApril 12, 2022

思路:先单线程爬虫,测试可以成功爬取之后再优化为多线程,最后存入数据库

以爬取郑州市租房信息为例

注意:本实战项目仅以学习为目的,为避免给网站造成太大压力,请将代码中的num修改成较小的数字,并将线程改小

一、单线程爬虫

# 用session取代requests
# 解析库使用bs4
# 并发库使用concurrent
import requests
# from lxml import etree    # 使用xpath解析
from bs4 import BeautifulSoup
from urllib import parse
import re
import time
 
headers = {
    'referer': 'https://zz.zu.fang.com/',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
    'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; city=zz; integratecover=1; __utma=147393320.427795962.1613371106.1613371106.1613371106.1; __utmc=147393320; __utmz=147393320.1613371106.1.1.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; ASP.NET_SessionId=aamzdnhzct4i5mx3ak4cyoyp; Rent_StatLog=23d82b94-13d6-4601-9019-ce0225c092f6; Captcha=61584F355169576F3355317957376E4F6F7552365351342B7574693561766E63785A70522F56557370586E3376585853346651565256574F37694B7074576B2B34536C5747715856516A4D3D; g_sourcepage=zf_fy%5Elb_pc; unique_cookie=U_ffzvt3kztwck05jm6twso2wjw18kl67hqft*6; __utmb=147393320.12.10.1613371106'
}
data={
    'agentbid':''
}
 
session = requests.session()
session.headers = headers
 
# 获取页面
def getHtml(url):
    try:
        re = session.get(url)
        re.encoding = re.apparent_encoding
        return re.text
    except:
        print(re.status_code)
 
# 获取页面总数量
def getNum(text):
    soup = BeautifulSoup(text, 'lxml')
    txt = soup.select('.fanye .txt')[0].text
    # 取出“共**页”中间的数字
    num = re.search(r'\d+', txt).group(0)
    return num
 
# 获取详细链接
def getLink(tex):
    soup=BeautifulSoup(text,'lxml')
    links=soup.select('.title a')
    for link in links:
        href=parse.urljoin('https://zz.zu.fang.com/',link['href'])
        hrefs.append(href)
 
# 解析页面
def parsePage(url):
    res=session.get(url)
    if res.status_code==200:
        res.encoding=res.apparent_encoding
        soup=BeautifulSoup(res.text,'lxml')
        try:
            title=soup.select('div .title')[0].text.strip().replace(' ','')
            price=soup.select('div .trl-item')[0].text.strip()
            block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip()
            building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip()
            try:
                address=soup.select('.trl-item2 .rcont')[2].text.strip()
            except:
                address=soup.select('.trl-item2 .rcont')[1].text.strip()
            detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','')
            detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','')
            detail=detail1+detail2
            name=soup.select('.zf_jjname')[0].text.strip()
            buserid=re.search('buserid: \'(\d+)\'',res.text).group(1)
            phone=getPhone(buserid)
            print(title,price,block,building,address,detail,name,phone)
            house = (title, price, block, building, address, detail, name, phone)
            info.append(house)
        except:
            pass
    else:
        print(re.status_code,re.text)
 
# 获取代理人号码
def getPhone(buserid):
    url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx'
    data['agentbid']=buserid
    res=session.post(url,data=data)
    if res.status_code==200:
        return res.text
    else:
        print(res.status_code)
        return
 
if __name__ == '__main__':
    start_time=time.time()
    hrefs=[]
    info=[]
    init_url = 'https://zz.zu.fang.com/house/'
    num=getNum(getHtml(init_url))
    for i in range(0,num):
        url = f'https://zz.zu.fang.com/house/i3{i+1}/'
        text=getHtml(url)
        getLink(text)
    print(hrefs)
    for href in hrefs:
        parsePage(href)
 
    print("共获取%d条数据"%len(info))
    print("共耗时{}".format(time.time()-start_time))
    session.close()

二、优化为多线程爬虫

# 用session取代requests
# 解析库使用bs4
# 并发库使用concurrent
import requests
# from lxml import etree    # 使用xpath解析
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from urllib import parse
import re
import time
 
headers = {
    'referer': 'https://zz.zu.fang.com/',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
    'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; integratecover=1; city=zz; keyWord_recenthousezz=%5b%7b%22name%22%3a%22%e6%96%b0%e5%af%86%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014868%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e4%ba%8c%e4%b8%83%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014864%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e9%83%91%e4%b8%9c%e6%96%b0%e5%8c%ba%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a0842%2f%22%2c%22sort%22%3a1%7d%5d; __utma=147393320.427795962.1613371106.1613558547.1613575774.5; __utmc=147393320; __utmz=147393320.1613575774.5.4.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; ASP.NET_SessionId=vhrhxr1tdatcc1xyoxwybuwv; g_sourcepage=zf_fy%5Elb_pc; Captcha=4937566532507336644D6557347143746B5A6A6B4A7A48445A422F2F6A51746C67516F31357446573052634562725162316152533247514250736F72775566574A2B33514357304B6976343D; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; __utmb=147393320.9.10.1613575774; unique_cookie=U_0l0d1ilf1t0ci2rozai9qi24k1pkl9lcmrs*4'
}
data={
    'agentbid':''
}
 
session = requests.session()
session.headers = headers
 
# 获取页面
def getHtml(url):
    res = session.get(url)
    if res.status_code==200:
        res.encoding = res.apparent_encoding
        return res.text
    else:
        print(res.status_code)
 
# 获取页面总数量
def getNum(text):
    soup = BeautifulSoup(text, 'lxml')
    txt = soup.select('.fanye .txt')[0].text
    # 取出“共**页”中间的数字
    num = re.search(r'\d+', txt).group(0)
    return num
 
# 获取详细链接
def getLink(url):
    text=getHtml(url)
    soup=BeautifulSoup(text,'lxml')
    links=soup.select('.title a')
    for link in links:
        href=parse.urljoin('https://zz.zu.fang.com/',link['href'])
        hrefs.append(href)
 
# 解析页面
def parsePage(url):
    res=session.get(url)
    if res.status_code==200:
        res.encoding=res.apparent_encoding
        soup=BeautifulSoup(res.text,'lxml')
        try:
            title=soup.select('div .title')[0].text.strip().replace(' ','')
            price=soup.select('div .trl-item')[0].text.strip()
            block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip()
            building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip()
            try:
                address=soup.select('.trl-item2 .rcont')[2].text.strip()
            except:
                address=soup.select('.trl-item2 .rcont')[1].text.strip()
            detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','')
            detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','')
            detail=detail1+detail2
            name=soup.select('.zf_jjname')[0].text.strip()
            buserid=re.search('buserid: \'(\d+)\'',res.text).group(1)
            phone=getPhone(buserid)
            print(title,price,block,building,address,detail,name,phone)
            house = (title, price, block, building, address, detail, name, phone)
            info.append(house)
        except:
            pass
    else:
        print(re.status_code,re.text)
 
# 获取代理人号码
def getPhone(buserid):
    url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx'
    data['agentbid']=buserid
    res=session.post(url,data=data)
    if res.status_code==200:
        return res.text
    else:
        print(res.status_code)
        return
 
if __name__ == '__main__':
    start_time=time.time()
    hrefs=[]
    info=[]
    init_url = 'https://zz.zu.fang.com/house/'
    num=getNum(getHtml(init_url))
    with ThreadPoolExecutor(max_workers=5) as t:
        for i in range(0,num):
            url = f'https://zz.zu.fang.com/house/i3{i+1}/'
            t.submit(getLink,url)
    print("共获取%d个链接"%len(hrefs))
    print(hrefs)
    with ThreadPoolExecutor(max_workers=30) as t:
        for href in hrefs:
            t.submit(parsePage,href)
    print("共获取%d条数据"%len(info))
    print("耗时{}".format(time.time()-start_time))
    session.close()

三、使用asyncio进一步优化

# 用session取代requests
# 解析库使用bs4
# 并发库使用concurrent
import requests
# from lxml import etree    # 使用xpath解析
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from urllib import parse
import re
import time
import asyncio
 
headers = {
    'referer': 'https://zz.zu.fang.com/',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
    'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; integratecover=1; city=zz; keyWord_recenthousezz=%5b%7b%22name%22%3a%22%e6%96%b0%e5%af%86%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014868%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e4%ba%8c%e4%b8%83%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014864%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e9%83%91%e4%b8%9c%e6%96%b0%e5%8c%ba%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a0842%2f%22%2c%22sort%22%3a1%7d%5d; __utma=147393320.427795962.1613371106.1613558547.1613575774.5; __utmc=147393320; __utmz=147393320.1613575774.5.4.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; ASP.NET_SessionId=vhrhxr1tdatcc1xyoxwybuwv; g_sourcepage=zf_fy%5Elb_pc; Captcha=4937566532507336644D6557347143746B5A6A6B4A7A48445A422F2F6A51746C67516F31357446573052634562725162316152533247514250736F72775566574A2B33514357304B6976343D; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; __utmb=147393320.9.10.1613575774; unique_cookie=U_0l0d1ilf1t0ci2rozai9qi24k1pkl9lcmrs*4'
}
data={
    'agentbid':''
}
 
session = requests.session()
session.headers = headers
 
# 获取页面
def getHtml(url):
    res = session.get(url)
    if res.status_code==200:
        res.encoding = res.apparent_encoding
        return res.text
    else:
        print(res.status_code)
 
# 获取页面总数量
def getNum(text):
    soup = BeautifulSoup(text, 'lxml')
    txt = soup.select('.fanye .txt')[0].text
    # 取出“共**页”中间的数字
    num = re.search(r'\d+', txt).group(0)
    return num
 
# 获取详细链接
def getLink(url):
    text=getHtml(url)
    soup=BeautifulSoup(text,'lxml')
    links=soup.select('.title a')
    for link in links:
        href=parse.urljoin('https://zz.zu.fang.com/',link['href'])
        hrefs.append(href)
 
# 解析页面
def parsePage(url):
    res=session.get(url)
    if res.status_code==200:
        res.encoding=res.apparent_encoding
        soup=BeautifulSoup(res.text,'lxml')
        try:
            title=soup.select('div .title')[0].text.strip().replace(' ','')
            price=soup.select('div .trl-item')[0].text.strip()
            block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip()
            building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip()
            try:
                address=soup.select('.trl-item2 .rcont')[2].text.strip()
            except:
                address=soup.select('.trl-item2 .rcont')[1].text.strip()
            detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','')
            detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','')
            detail=detail1+detail2
            name=soup.select('.zf_jjname')[0].text.strip()
            buserid=re.search('buserid: \'(\d+)\'',res.text).group(1)
            phone=getPhone(buserid)
            print(title,price,block,building,address,detail,name,phone)
            house = (title, price, block, building, address, detail, name, phone)
            info.append(house)
        except:
            pass
    else:
        print(re.status_code,re.text)
 
# 获取代理人号码
def getPhone(buserid):
    url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx'
    data['agentbid']=buserid
    res=session.post(url,data=data)
    if res.status_code==200:
        return res.text
    else:
        print(res.status_code)
        return
 
# 获取详细链接的线程池
async def Pool1(num):
    loop=asyncio.get_event_loop()
    task=[]
    with ThreadPoolExecutor(max_workers=5) as t:
        for i in range(0,num):
            url = f'https://zz.zu.fang.com/house/i3{i+1}/'
            task.append(loop.run_in_executor(t,getLink,url))
 
# 解析页面的线程池
async def Pool2(hrefs):
    loop=asyncio.get_event_loop()
    task=[]
    with ThreadPoolExecutor(max_workers=30) as t:
        for href in hrefs:
            task.append(loop.run_in_executor(t,parsePage,href))
 
if __name__ == '__main__':
    start_time=time.time()
    hrefs=[]
    info=[]
    task=[]
    init_url = 'https://zz.zu.fang.com/house/'
    num=getNum(getHtml(init_url))
    loop = asyncio.get_event_loop()
    loop.run_until_complete(Pool1(num))
    print("共获取%d个链接"%len(hrefs))
    print(hrefs)
    loop.run_until_complete(Pool2(hrefs))
    loop.close()
    print("共获取%d条数据"%len(info))
    print("耗时{}".format(time.time()-start_time))
    session.close()

四、存入Mysql数据库

(一)建表

from sqlalchemy import create_engine
from sqlalchemy import String, Integer, Column, Text
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session  # 多线程爬虫时避免出现线程安全问题
from sqlalchemy.ext.declarative import declarative_base
 
BASE = declarative_base()  # 实例化
engine = create_engine(
    "mysql+pymysql://root:root@127.0.0.1:3306/pytest?charset=utf8",
    max_overflow=300,  # 超出连接池大小最多可以创建的连接
    pool_size=100,  # 连接池大小
    echo=False,  # 不显示调试信息
)
 
 
class House(BASE):
    __tablename__ = 'house'
    id = Column(Integer, primary_key=True, autoincrement=True)
    title=Column(String(200))
    price=Column(String(200))
    block=Column(String(200))
    building=Column(String(200))
    address=Column(String(200))
    detail=Column(Text())
    name=Column(String(20))
    phone=Column(String(20))
 
 
BASE.metadata.create_all(engine)
Session = sessionmaker(engine)
sess = scoped_session(Session)

(二)将数据存入数据库中 

# 用session取代requests
# 解析库使用bs4
# 并发库使用concurrent
import requests
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from urllib import parse
from mysqldb import sess, House
import re
import time
import asyncio
 
headers = {
    'referer': 'https://zz.zu.fang.com/',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
    'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; integratecover=1; city=zz; __utmc=147393320; ASP.NET_SessionId=vhrhxr1tdatcc1xyoxwybuwv; __utma=147393320.427795962.1613371106.1613575774.1613580597.6; __utmz=147393320.1613580597.6.5.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; Rent_StatLog=c158b2a7-4622-45a9-9e69-dcf6f42cf577; keyWord_recenthousezz=%5b%7b%22name%22%3a%22%e4%ba%8c%e4%b8%83%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014864%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e9%83%91%e4%b8%9c%e6%96%b0%e5%8c%ba%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a0842%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e7%bb%8f%e5%bc%80%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014871%2f%22%2c%22sort%22%3a1%7d%5d; g_sourcepage=zf_fy%5Elb_pc; Captcha=6B65716A41454739794D666864397178613772676C75447A4E746C657144775A347A6D42554F446532357649643062344F6976756E563450554E59594B7833712B413579506C4B684958343D; unique_cookie=U_0l0d1ilf1t0ci2rozai9qi24k1pkl9lcmrs*14; __utmb=147393320.21.10.1613580597'
}
data={
    'agentbid':''
}
 
session = requests.session()
session.headers = headers
 
# 获取页面
def getHtml(url):
    res = session.get(url)
    if res.status_code==200:
        res.encoding = res.apparent_encoding
        return res.text
    else:
        print(res.status_code)
 
# 获取页面总数量
def getNum(text):
    soup = BeautifulSoup(text, 'lxml')
    txt = soup.select('.fanye .txt')[0].text
    # 取出“共**页”中间的数字
    num = re.search(r'\d+', txt).group(0)
    return num
 
# 获取详细链接
def getLink(url):
    text=getHtml(url)
    soup=BeautifulSoup(text,'lxml')
    links=soup.select('.title a')
    for link in links:
        href=parse.urljoin('https://zz.zu.fang.com/',link['href'])
        hrefs.append(href)
 
# 解析页面
def parsePage(url):
    res=session.get(url)
    if res.status_code==200:
        res.encoding=res.apparent_encoding
        soup=BeautifulSoup(res.text,'lxml')
        try:
            title=soup.select('div .title')[0].text.strip().replace(' ','')
            price=soup.select('div .trl-item')[0].text.strip()
            block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip()
            building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip()
            try:
                address=soup.select('.trl-item2 .rcont')[2].text.strip()
            except:
                address=soup.select('.trl-item2 .rcont')[1].text.strip()
            detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','')
            detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','')
            detail=detail1+detail2
            name=soup.select('.zf_jjname')[0].text.strip()
            buserid=re.search('buserid: \'(\d+)\'',res.text).group(1)
            phone=getPhone(buserid)
            print(title,price,block,building,address,detail,name,phone)
            house = (title, price, block, building, address, detail, name, phone)
            info.append(house)
            try:
                house_data=House(
                    title=title,
                    price=price,
                    block=block,
                    building=building,
                    address=address,
                    detail=detail,
                    name=name,
                    phone=phone
                )
                sess.add(house_data)
                sess.commit()
            except Exception as e:
                print(e)    # 打印错误信息
                sess.rollback()  # 回滚
        except:
            pass
    else:
        print(re.status_code,re.text)
 
# 获取代理人号码
def getPhone(buserid):
    url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx'
    data['agentbid']=buserid
    res=session.post(url,data=data)
    if res.status_code==200:
        return res.text
    else:
        print(res.status_code)
        return
 
# 获取详细链接的线程池
async def Pool1(num):
    loop=asyncio.get_event_loop()
    task=[]
    with ThreadPoolExecutor(max_workers=5) as t:
        for i in range(0,num):
            url = f'https://zz.zu.fang.com/house/i3{i+1}/'
            task.append(loop.run_in_executor(t,getLink,url))
 
# 解析页面的线程池
async def Pool2(hrefs):
    loop=asyncio.get_event_loop()
    task=[]
    with ThreadPoolExecutor(max_workers=30) as t:
        for href in hrefs:
            task.append(loop.run_in_executor(t,parsePage,href))
 
if __name__ == '__main__':
    start_time=time.time()
    hrefs=[]
    info=[]
    task=[]
    init_url = 'https://zz.zu.fang.com/house/'
    num=getNum(getHtml(init_url))
    loop = asyncio.get_event_loop()
    loop.run_until_complete(Pool1(num))
    print("共获取%d个链接"%len(hrefs))
    print(hrefs)
    loop.run_until_complete(Pool2(hrefs))
    loop.close()
    print("共获取%d条数据"%len(info))
    print("耗时{}".format(time.time()-start_time))
    session.close()

五、最终效果图 (已打码)

尝试使用Python爬取城市租房信息

到此这篇关于Python爬取城市租房信息实战分享的文章就介绍到这了!

Python 相关文章推荐
python sys模块sys.path使用方法示例
Dec 04 Python
python进阶教程之函数参数的多种传递方法
Aug 30 Python
python实现同时给多个变量赋值的方法
Apr 30 Python
Python编程之字符串模板(Template)用法实例分析
Jul 22 Python
Python 内置函数进制转换的用法(十进制转二进制、八进制、十六进制)
Apr 30 Python
python pygame实现2048游戏
Nov 20 Python
python config文件的读写操作示例
Sep 27 Python
Python爬虫爬取煎蛋网图片代码实例
Dec 16 Python
Python virtualenv虚拟环境实现过程解析
Apr 18 Python
PyQt5 文本输入框自动补全QLineEdit的实现示例
May 13 Python
python实现马丁策略的实例详解
Jan 15 Python
python标准库ElementTree处理xml
May 20 Python
Python采集爬取京东商品信息和评论并存入MySQL
Apr 12 #Python
Python实现批量将文件复制到新的目录中再修改名称
Python多线程实用方法以及共享变量资源竞争问题
Apr 12 #Python
Python使用socket去实现TCP客户端和TCP服务端
Apr 12 #Python
Python闭包的定义和使用方法
Apr 11 #Python
什么是Python装饰器?如何定义和使用?
Apr 11 #Python
Python经常使用的一些内置函数
You might like
php MessagePack介绍
2013/10/06 PHP
PHP中使用sleep造成mysql读取失败的案例和解决方法
2014/08/21 PHP
php实现的zip文件内容比较类
2014/09/24 PHP
php正则去除网页中所有的html,js,css,注释的实现方法
2016/11/03 PHP
php封装的验证码类分享
2017/02/26 PHP
tp5.1 实现setInc字段自动加1
2019/10/18 PHP
JS中使用Array函数shift和pop创建可忽略参数的例子
2014/05/28 Javascript
js预加载图片方法汇总
2015/06/15 Javascript
Webwork 实现文件上传下载代码详解
2016/02/02 Javascript
Nodejs Stream 数据流使用手册
2016/04/17 NodeJs
利用JS实现页面删除并重新排序功能
2016/12/09 Javascript
微信小程序 常见问题总结(4058,40013)及解决办法
2017/01/11 Javascript
基于JavaScript实现购物车功能
2017/02/07 Javascript
Vuejs仿网易云音乐实现听歌及搜索功能
2017/03/30 Javascript
基于vue实现swipe分页组件实例
2017/05/25 Javascript
如何在vue中使用ts的示例代码
2018/02/28 Javascript
详解js创建对象的几种方法及继承
2019/04/12 Javascript
vue动态绘制四分之三圆环图效果
2019/09/03 Javascript
js实现拖拽与碰撞检测
2020/09/18 Javascript
详解Python中break语句的用法
2015/05/14 Python
pycharm远程调试openstack代码
2017/11/21 Python
python的concat等多种用法详解
2018/11/28 Python
python图形工具turtle绘制国际象棋棋盘
2019/05/23 Python
numpy linalg模块的具体使用方法
2019/05/26 Python
程序员的七夕用30行代码让Python化身表白神器
2019/08/07 Python
Python 使用matplotlib模块模拟掷骰子
2019/08/08 Python
推荐10个CSS3 制作的创意下拉菜单效果
2014/02/11 HTML / CSS
h5使用canvas画布实现手势解锁
2019/01/04 HTML / CSS
会计师职业生涯规划范文
2014/02/18 职场文书
计算机专业应届生求职信
2014/04/06 职场文书
董事长岗位职责
2015/02/13 职场文书
幼儿园亲子活动通知
2015/04/24 职场文书
2016入党心得体会范文
2016/01/06 职场文书
Python趣味挑战之用pygame实现简单的金币旋转效果
2021/05/31 Python
python中__slots__节约内存的具体做法
2021/07/04 Python
maven 解包依赖项中的文件的解决方法
2022/07/15 Java/Android