首页
所有分类
TAGS
文字工具 EMOJI BIBLE
编程 Python

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！

尝试使用Python爬取城市租房信息

- Author -

程序员班长

- Original Sources -

声明：登载此文出于传递更多信息之目的，并不意味着赞同其观点或证实其描述。

Python 相关文章推荐
python实现的简单窗口倒计时界面实例
May 05 Python
python实现时间o(1)的最小栈的实例代码
Jul 23 Python
Python设计模式之抽象工厂模式原理与用法详解
Jan 15 Python
Python一键查找iOS项目中未使用的图片、音频、视频资源
Aug 12 Python
使用Python给头像戴上圣诞帽的图像操作过程解析
Sep 20 Python
Python3实现二叉树的最大深度
Sep 30 Python
Python 识别12306图片验证码物品的实现示例
Jan 20 Python
Django Channel实时推送与聊天的示例代码
Apr 30 Python
什么是Python中的匿名函数
Jun 02 Python
Python如何避免文件同名产生覆盖
Jun 09 Python
关于python的缩进规则的知识点详解
Jun 22 Python
详解Python中的编码问题（encoding与decode、str与bytes）
Sep 30 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
增删查改(1) 选择器(1) 克隆(1) 外键(1) 代理(2) canvas(2) flex(1) #{}(1) SQL注入(2) 图片模糊(1)
You might like
PHP 替换模板变量实现步骤
2009/08/24 PHP
队列在编程中的实际应用(php)
2010/09/04 PHP
php数据入库前清理 注意php intval与mysql的int取值范围不同
2010/12/12 PHP
PHP计算一年多少个星期和每周的开始和结束日期
2014/07/01 PHP
Laravel Validator 实现两个或多个字段联合索引唯一
2019/05/08 PHP
50个优秀经典PHP算法大集合 附源码
2020/08/26 PHP
javascript js cookie的存储,获取和删除
2007/12/29 Javascript
js中的string.format函数代码
2020/08/11 Javascript
Jquery对数组的操作技巧整理
2014/03/25 Javascript
node.js中的buffer.Buffer.byteLength方法使用说明
2014/12/10 Javascript
jquery实现简单的轮换出现效果实例
2015/07/23 Javascript
JS实现网页每隔3秒弹出一次对话框的方法
2015/11/09 Javascript
微信小程序 石头剪刀布实例代码
2017/01/04 Javascript
Node.js连接mongodb实例代码
2017/06/06 Javascript
jQuery实现当拉动滚动条到底部加载数据的方法分析
2019/01/24 jQuery
bootstrap-paginator服务器端分页使用方法详解
2020/02/13 Javascript
JS事件循环机制event loop宏任务微任务原理解析
2020/08/04 Javascript
python使用xauth方式登录饭否网然后发消息
2014/04/11 Python
跟老齐学Python之大话题小函数(1)
2014/10/10 Python
Python写的一个简单监控系统
2015/06/19 Python
Python函数式编程指南（三）：迭代器详解
2015/06/24 Python
实例分析python3实现并发访问水平切分表
2018/09/29 Python
Python正则表达式实现简易计算器功能示例
2019/05/07 Python
Python批量查询关键词微信指数实例方法
2019/06/27 Python
python中对数据进行各种排序的方法
2019/07/02 Python
OpenCV里的imshow()和Matplotlib.pyplot的imshow()的实现
2019/11/25 Python
Tensorflow分批量读取数据教程
2020/02/07 Python
Python利用FFT进行简单滤波的实现
2020/02/26 Python
什么是python的列表推导式
2020/05/26 Python
Lookfantastic日本官网：英国知名护肤、化妆品和头发护理购物网站
2018/04/21 全球购物
环境工程大学生自荐信
2013/10/21 职场文书
室内拓展活动方案
2014/02/13 职场文书
房屋买卖协议书
2014/04/10 职场文书
2015年市场营销工作总结
2015/07/23 职场文书
导游词之岳阳楼
2019/09/25 职场文书
讲解MySQL增删改操作
2022/05/06 MySQL