Community
Learn
Tools Library
AI Tools
Leisure
search
English
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?

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB
WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB
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!

    Show More

    Hot Article

    Assassin's Creed Shadows: Seashell Riddle Solution
    3 weeks ago By DDD
    What's New in Windows 11 KB5054979 & How to Fix Update Issues
    2 weeks ago By DDD
    Where to find the Crane Control Keycard in Atomfall
    3 weeks ago By DDD
    Assassin's Creed Shadows - How To Find The Blacksmith And Unlock Weapon And Armour Customisation
    1 months ago By DDD
    Roblox: Dead Rails - How To Complete Every Challenge
    3 weeks ago By DDD
    Show More

    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)

    Show More

    Hot Topics

    Where is the login entrance for gmail email?
    7613
    15
    CakePHP Tutorial
    1387
    52
    What is the format of the account name of steam
    88
    11
    win11 activation key permanent
    68
    19
    nyt connections hints and answers
    29
    136
    Show More
    Related knowledge
    Is the vscode extension malicious? Is the vscode extension malicious? Apr 15, 2025 pm 07:57 PM

    VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

    How to run programs in terminal vscode How to run programs in terminal vscode Apr 15, 2025 pm 06:42 PM

    In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

    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.

    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.

    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.

    Can vscode be used for mac Can vscode be used for mac Apr 15, 2025 pm 07:36 PM

    VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

    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.

    Can vscode run ipynb Can vscode run ipynb Apr 15, 2025 pm 07:30 PM

    The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.

    See all articles