Table of Contents
1. Single-threaded crawler
2. Optimize to multi-threaded crawler
3. Use asyncio further optimization
4. Store in Mysql database
(1) Create table
(2) Store data in the database
5. Final rendering (coded)
Home Backend Development Python Tutorial Python crawler: How to obtain city rental information?

Python crawler: How to obtain city rental information?

May 07, 2023 pm 08:34 PM
python

    Idea: Start with a single-threaded crawler, test that it can crawl successfully, then optimize it to multi-threading, and finally store it in the database

    Take crawling rental information in Zhengzhou City as an example

    Note: This practical project is only for learning purposes. To avoid putting too much pressure on the website, please change the num in the code Modify it to a smaller number and change the thread size

    1. Single-threaded crawler

    # 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()
    Copy after login

    2. Optimize to multi-threaded crawler

    # 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()
    Copy after login

    3. Use asyncio further optimization

    # 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()
    Copy after login

    4. Store in Mysql database

    (1) Create table

    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)
    Copy after login

    (2) Store data in the database

    # 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()
    Copy after login

    5. Final rendering (coded)

    Python crawler: How to obtain city rental information?

    The above is the detailed content of Python crawler: How to obtain city rental information?. For more information, please follow other related articles on the PHP Chinese website!

    Statement of this Website
    The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

    Hot AI Tools

    Undresser.AI Undress

    Undresser.AI Undress

    AI-powered app for creating realistic nude photos

    AI Clothes Remover

    AI Clothes Remover

    Online AI tool for removing clothes from photos.

    Undress AI Tool

    Undress AI Tool

    Undress images for free

    Clothoff.io

    Clothoff.io

    AI clothes remover

    Video Face Swap

    Video Face Swap

    Swap faces in any video effortlessly with our completely free AI face swap tool!

    Hot Tools

    Notepad++7.3.1

    Notepad++7.3.1

    Easy-to-use and free code editor

    SublimeText3 Chinese version

    SublimeText3 Chinese version

    Chinese version, very easy to use

    Zend Studio 13.0.1

    Zend Studio 13.0.1

    Powerful PHP integrated development environment

    Dreamweaver CS6

    Dreamweaver CS6

    Visual web development tools

    SublimeText3 Mac version

    SublimeText3 Mac version

    God-level code editing software (SublimeText3)

    PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

    PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

    Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

    PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

    PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

    PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

    Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

    Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

    Can vs code run in Windows 8 Can vs code run in Windows 8 Apr 15, 2025 pm 07:24 PM

    VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

    How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

    To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

    Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

    VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

    How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

    Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

    See all articles